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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>EiCAP — Emotional Intelligence for LLMs</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=Fraunces:ital,opsz,wght@0,9..144,300;0,9..144,500;0,9..144,700;1,9..144,300;1,9..144,500&family=Nunito:ital,wght@0,300;0,400;0,600;0,700;1,300;1,400&display=swap" rel="stylesheet">
<style>
:root {
--joy: #FFD93D;
--joy-deep: #F4A500;
--joy-light: #FFF8DC;
--sadness: #4A90D9;
--sadness-deep: #1B4F8A;
--sadness-light: #D6EAF8;
--anger: #E84040;
--anger-deep: #8B1A1A;
--anger-light: #FDECEA;
--fear: #9B59B6;
--fear-deep: #5B2C6F;
--fear-light: #F5EEF8;
--disgust: #27AE60;
--disgust-deep: #145A32;
--disgust-light: #E9F7EF;
--ennui: #2E86AB;
--bg-dark: #0D0D1A;
--bg-mid: #12122A;
--text-bright: #F0EEE4;
--text-muted: #A09DC0;
--card-bg: rgba(255,255,255,0.05);
--card-border: rgba(255,255,255,0.1);
}
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
html { scroll-behavior: smooth; }
body {
font-family: 'Nunito', sans-serif;
background: var(--bg-dark);
color: var(--text-bright);
overflow-x: hidden;
cursor: none;
}
/* ── CUSTOM CURSOR ── */
.cursor {
position: fixed; width: 16px; height: 16px;
border-radius: 50%; background: var(--joy);
pointer-events: none; z-index: 9999;
transform: translate(-50%,-50%);
transition: transform 0.1s, background 0.3s, width 0.2s, height 0.2s;
mix-blend-mode: screen;
}
.cursor-ring {
position: fixed; width: 40px; height: 40px;
border-radius: 50%; border: 1.5px solid rgba(255,217,61,0.4);
pointer-events: none; z-index: 9998;
transform: translate(-50%,-50%);
transition: transform 0.18s ease-out, border-color 0.3s;
}
/* ── CANVAS BACKGROUND ── */
#bgCanvas {
position: fixed; top: 0; left: 0;
width: 100%; height: 100%;
z-index: 0; pointer-events: none;
}
/* ── NAV ── */
nav {
position: fixed; top: 0; left: 0; right: 0;
z-index: 100;
padding: 0 2.5rem;
height: 68px;
display: flex; align-items: center; gap: 2rem;
background: rgba(13,13,26,0.7);
backdrop-filter: blur(20px);
border-bottom: 1px solid rgba(255,255,255,0.07);
}
.nav-logo {
font-family: 'Fraunces', serif;
font-size: 1.5rem; font-weight: 700;
background: linear-gradient(135deg, var(--joy), var(--sadness), var(--fear));
-webkit-background-clip: text; -webkit-text-fill-color: transparent;
background-clip: text;
text-decoration: none;
display: flex; align-items: center; gap: 10px;
}
.logo-orb {
width: 32px; height: 32px; border-radius: 50%;
background: radial-gradient(circle at 35% 35%, var(--joy), var(--joy-deep));
box-shadow: 0 0 20px rgba(255,217,61,0.5);
animation: orbPulse 3s ease-in-out infinite;
flex-shrink: 0;
}
@keyframes orbPulse {
0%,100% { box-shadow: 0 0 20px rgba(255,217,61,0.5); transform: scale(1); }
50% { box-shadow: 0 0 35px rgba(255,217,61,0.8); transform: scale(1.05); }
}
.nav-links { display: flex; gap: 1.75rem; margin-left: auto; align-items: center; }
.nav-links a {
font-size: 13px; color: var(--text-muted);
text-decoration: none; font-weight: 600;
letter-spacing: 0.04em; text-transform: uppercase;
transition: color 0.2s;
position: relative;
}
.nav-links a::after {
content: ''; position: absolute; bottom: -4px; left: 0; right: 0;
height: 2px; background: var(--joy); border-radius: 1px;
transform: scaleX(0); transition: transform 0.2s;
}
.nav-links a:hover { color: var(--text-bright); }
.nav-links a:hover::after { transform: scaleX(1); }
.btn-nav {
background: linear-gradient(135deg, var(--joy), var(--joy-deep));
color: #1a1000 !important; padding: 8px 20px;
border-radius: 50px; font-size: 13px !important;
font-weight: 700 !important; text-transform: uppercase !important;
letter-spacing: 0.06em !important;
box-shadow: 0 4px 20px rgba(255,217,61,0.35);
transition: box-shadow 0.2s, transform 0.2s !important;
}
.btn-nav::after { display: none !important; }
.btn-nav:hover { box-shadow: 0 6px 30px rgba(255,217,61,0.55) !important; transform: translateY(-1px) !important; }
/* ── SECTIONS ── */
.section {
position: relative; z-index: 1;
max-width: 1140px; margin: 0 auto;
padding: 6rem 2rem;
}
.section-label {
font-size: 11px; font-weight: 700; letter-spacing: 0.15em;
text-transform: uppercase; margin-bottom: 1rem;
display: flex; align-items: center; gap: 8px;
}
.section-label::before {
content: ''; display: inline-block;
width: 24px; height: 2px; border-radius: 1px;
}
.section-title {
font-family: 'Fraunces', serif;
font-size: clamp(2rem, 4vw, 3rem);
font-weight: 500; line-height: 1.15;
margin-bottom: 1rem;
}
.section-sub {
font-size: 15px; color: var(--text-muted);
max-width: 600px; line-height: 1.8; margin-bottom: 3rem;
}
/* ── HERO ── */
#hero {
min-height: 100vh;
display: flex; flex-direction: column;
justify-content: center; align-items: center;
text-align: center;
padding: 100px 2rem 4rem;
position: relative; z-index: 1;
}
.hero-badge {
display: inline-flex; align-items: center; gap: 6px;
background: rgba(255,217,61,0.12); border: 1px solid rgba(255,217,61,0.3);
color: var(--joy); font-size: 11px; font-weight: 700;
padding: 6px 16px; border-radius: 50px;
letter-spacing: 0.1em; text-transform: uppercase;
margin-bottom: 2rem;
animation: fadeSlideUp 0.8s ease both;
}
.hero-badge span { width: 6px; height: 6px; border-radius: 50%; background: var(--joy); animation: orbPulse 2s infinite; }
.hero-title {
font-family: 'Fraunces', serif;
font-size: clamp(3rem, 7vw, 5.5rem);
font-weight: 700; line-height: 1.05;
margin-bottom: 1rem;
animation: fadeSlideUp 0.8s 0.1s ease both;
}
.hero-title em {
font-style: italic;
background: linear-gradient(135deg, var(--joy) 0%, #FF8C42 40%, var(--fear) 100%);
-webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text;
}
.hero-sub {
font-size: clamp(1rem, 2vw, 1.2rem);
color: var(--text-muted); max-width: 600px;
line-height: 1.75; margin-bottom: 2.5rem;
animation: fadeSlideUp 0.8s 0.2s ease both;
}
.hero-authors {
font-size: 13px; color: var(--text-muted);
margin-bottom: 2.5rem;
animation: fadeSlideUp 0.8s 0.25s ease both;
}
.hero-buttons {
display: flex; gap: 12px; justify-content: center;
flex-wrap: wrap; margin-bottom: 4rem;
animation: fadeSlideUp 0.8s 0.3s ease both;
}
.btn-glow {
display: inline-flex; align-items: center; gap: 8px;
padding: 13px 28px; border-radius: 50px;
font-size: 14px; font-weight: 700; text-decoration: none;
font-family: 'Nunito', sans-serif;
cursor: none; transition: transform 0.2s, box-shadow 0.2s;
}
.btn-joy {
background: linear-gradient(135deg, var(--joy), var(--joy-deep));
color: #1a1000;
box-shadow: 0 6px 30px rgba(255,217,61,0.4);
}
.btn-joy:hover { transform: translateY(-2px); box-shadow: 0 10px 40px rgba(255,217,61,0.6); }
.btn-ghost {
background: rgba(255,255,255,0.06);
border: 1px solid rgba(255,255,255,0.15);
color: var(--text-bright);
backdrop-filter: blur(8px);
}
.btn-ghost:hover { background: rgba(255,255,255,0.1); transform: translateY(-2px); border-color: rgba(255,255,255,0.25); }
/* ── EMOTION ORBS (floating hero elements) ── */
.orb-field {
position: absolute; inset: 0; overflow: hidden; pointer-events: none;
}
.orb {
position: absolute; border-radius: 50%;
filter: blur(60px); opacity: 0.15;
animation: floatOrb linear infinite;
}
@keyframes floatOrb {
0% { transform: translate(0,0) scale(1); }
25% { transform: translate(30px,-40px) scale(1.1); }
50% { transform: translate(-20px,-80px) scale(0.95); }
75% { transform: translate(-40px,-30px) scale(1.05); }
100% { transform: translate(0,0) scale(1); }
}
/* ── STATS ── */
.stats-row {
display: grid;
grid-template-columns: repeat(5, 1fr);
gap: 16px; margin-bottom: 0;
animation: fadeSlideUp 0.8s 0.4s ease both;
}
.stat-card {
background: rgba(255,255,255,0.04);
border: 1px solid rgba(255,255,255,0.08);
border-radius: 16px; padding: 1.5rem 1rem;
text-align: center; backdrop-filter: blur(10px);
transition: transform 0.3s, border-color 0.3s, box-shadow 0.3s;
}
.stat-card:hover { transform: translateY(-4px); }
.stat-num {
font-family: 'Fraunces', serif;
font-size: 2.2rem; font-weight: 700;
line-height: 1; margin-bottom: 6px;
}
.stat-label { font-size: 11px; color: var(--text-muted); text-transform: uppercase; letter-spacing: 0.08em; font-weight: 600; }
/* ── EMOTION TABS (taxonomy) ── */
#taxonomy { border-top: 1px solid rgba(255,255,255,0.06); }
.emotion-tabs {
display: flex; gap: 8px; margin-bottom: 2rem;
flex-wrap: wrap;
}
.etab {
display: flex; align-items: center; gap: 8px;
padding: 10px 18px; border-radius: 50px;
border: 1px solid rgba(255,255,255,0.1);
background: rgba(255,255,255,0.04);
font-size: 13px; font-weight: 600;
cursor: none; transition: all 0.25s;
color: var(--text-muted);
}
.etab .etab-dot { width: 10px; height: 10px; border-radius: 50%; flex-shrink: 0; }
.etab.active, .etab:hover { color: var(--text-bright); }
.etab-content { display: none; }
.etab-content.active { display: block; animation: fadeIn 0.3s ease; }
@keyframes fadeIn { from { opacity: 0; transform: translateY(8px); } to { opacity: 1; transform: translateY(0); } }
.tax-detail {
background: rgba(255,255,255,0.04);
border: 1px solid rgba(255,255,255,0.1);
border-radius: 20px; padding: 2.5rem;
display: grid; grid-template-columns: 1fr 1fr;
gap: 2rem; align-items: start;
}
.tax-big-num {
font-family: 'Fraunces', serif;
font-size: 6rem; font-weight: 700;
line-height: 1; opacity: 0.15;
position: absolute; right: 2rem; top: 1rem;
}
.tax-detail-left { position: relative; }
.tax-layer-name {
font-family: 'Fraunces', serif;
font-size: 2rem; font-weight: 500;
margin-bottom: 0.75rem; line-height: 1.2;
}
.tax-desc { font-size: 14px; color: var(--text-muted); line-height: 1.8; margin-bottom: 1.5rem; }
.tax-theories { display: flex; flex-wrap: wrap; gap: 6px; }
.theory-pill {
font-size: 11px; font-weight: 700; text-transform: uppercase;
letter-spacing: 0.06em; padding: 4px 12px; border-radius: 50px;
background: rgba(255,255,255,0.08); color: var(--text-muted);
}
.tax-subcats {
display: grid; grid-template-columns: 1fr 1fr; gap: 8px;
}
.subcat-item {
background: rgba(255,255,255,0.04);
border: 1px solid rgba(255,255,255,0.06);
border-radius: 10px; padding: 10px 14px;
font-size: 12px; font-weight: 600;
display: flex; align-items: center; gap: 8px;
}
.subcat-dot { width: 8px; height: 8px; border-radius: 50%; flex-shrink: 0; }
/* ── RESULTS ── */
#results { border-top: 1px solid rgba(255,255,255,0.06); }
.model-race {
display: flex; flex-direction: column; gap: 20px;
margin-bottom: 3rem;
}
.race-row {
display: grid; grid-template-columns: 220px 1fr 80px;
align-items: center; gap: 20px;
}
.race-model { font-size: 14px; font-weight: 600; }
.race-model small { display: block; font-size: 11px; color: var(--text-muted); font-weight: 400; margin-top: 2px; }
.race-track {
height: 14px; background: rgba(255,255,255,0.06);
border-radius: 7px; overflow: hidden; position: relative;
}
.race-fill {
height: 100%; border-radius: 7px;
transition: width 1.5s cubic-bezier(0.16,1,0.3,1);
width: 0;
position: relative;
}
.race-fill::after {
content: ''; position: absolute; right: 0; top: 0; bottom: 0;
width: 20px;
background: linear-gradient(90deg, transparent, rgba(255,255,255,0.3));
border-radius: 7px;
}
.race-score { font-family: 'Fraunces', serif; font-size: 1.2rem; font-weight: 700; text-align: right; }
.race-sig { font-size: 11px; color: var(--text-muted); text-align: right; margin-top: 2px; font-weight: 600; }
/* ── LEADERBOARD ── */
#leaderboard { border-top: 1px solid rgba(255,255,255,0.06); }
.lb-wrap { overflow-x: auto; border-radius: 16px; border: 1px solid rgba(255,255,255,0.1); }
table.lb { width: 100%; border-collapse: collapse; }
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<!-- NAV -->
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EiCAP
</a>
<div class="nav-links">
<a href="#abstract">Abstract</a>
<a href="#taxonomy">Taxonomy</a>
<a href="#results">Results</a>
<a href="#leaderboard">Leaderboard</a>
<a href="#dataset">Dataset</a>
<a href="#examples">Examples</a>
<a href="#" class="btn-nav">Paper ↗</a>
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<h1 class="hero-title">
Benchmarking &<br>Enhancing <em>Emotional<br>Intelligence</em> in LLMs
</h1>
<p class="hero-sub">
A psychologically grounded six-layer taxonomy operationalized into 3,174 evaluation probes and 152,820 training dialogues — the first unified EI framework for language models.
</p>
<p class="hero-authors">Nizi Nazar, Pardis Sadat Zahraei, Dilek Hakkani-Tür, Natasa Milic-Frayling, Ehsaneddin Asgari
</p>
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<a href="https://huggingface.co/EICAP-Team" class="btn-glow btn-ghost">🤗 HuggingFace</a>
<a href="#dataset" class="btn-glow btn-ghost">📊 Dataset</a>
<a href="#leaderboard" class="btn-glow btn-ghost">🏆 Leaderboard</a>
</div>
<div class="stats-row">
<div class="stat-card" style="border-color:rgba(255,217,61,0.2);">
<div class="stat-num" style="color:var(--joy);">3,174</div>
<div class="stat-label">Eval Probes</div>
</div>
<div class="stat-card" style="border-color:rgba(74,144,217,0.2);">
<div class="stat-num" style="color:var(--sadness);">24</div>
<div class="stat-label">Subcategories</div>
</div>
<div class="stat-card" style="border-color:rgba(155,89,182,0.2);">
<div class="stat-num" style="color:var(--fear);">6</div>
<div class="stat-label">EI Layers</div>
</div>
<div class="stat-card" style="border-color:rgba(39,174,96,0.2);">
<div class="stat-num" style="color:var(--disgust);">152K</div>
<div class="stat-label">Training Dialogues</div>
</div>
<div class="stat-card" style="border-color:rgba(232,64,64,0.2);">
<div class="stat-num" style="color:var(--anger);">18/24</div>
<div class="stat-label">Significant Gains</div>
</div>
</div>
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</section>
<!-- ABSTRACT -->
<section id="abstract" class="section reveal">
<div class="section-label" style="color:var(--joy);"><span style="background:var(--joy);width:24px;height:2px;border-radius:1px;display:inline-block;"></span> Overview</div>
<h2 class="section-title">What is EiCAP?</h2>
<p class="section-sub">
LLMs increasingly serve in emotionally sensitive roles — mental health support, education, crisis response — yet no principled framework exists for assessing or improving their Emotional Intelligence.
</p>
<div class="finding-card">
<strong>Key Finding:</strong> Generic conversational fine-tuning (UltraChat) does <em>not</em> reliably improve EI — it produces localized gains in only 7/24 subcategories and actually lowers overall macro accuracy from 50.25% to 43.93%. EI-grounded supervision via <strong>EiCAP-SFT</strong> with LoRA (~0.8% parameters) yields statistically significant improvements in <strong>18/24 subcategories</strong>, raising macro accuracy to 54.06% — a +10.13pp advantage over generic fine-tuning.
</div>
<p style="font-size:15px;color:var(--text-muted);line-height:1.85;max-width:780px;">
EiCAP bridges the gap with a six-layer EI taxonomy grounded in Ekman, Plutchik, Russell, Lazarus, and Goleman — operationalized into <strong style="color:var(--text-bright);">EiCAP-Bench</strong> (multi-turn forced-choice evaluation, 3,174 probes) and <strong style="color:var(--text-bright);">EiCAP-SFT</strong> (152,820 taxonomy-aligned training dialogues). Together they form a transparent, reproducible path from psychological theory to measurable EI improvement.
</p>
</section>
<!-- TAXONOMY -->
<section id="taxonomy" class="section reveal">
<div class="section-label" style="color:var(--fear);"><span style="background:var(--fear);display:inline-block;"></span> EI Framework</div>
<h2 class="section-title">Six-Layer EI Taxonomy</h2>
<p class="section-sub">Each layer maps to established psychological theories. Click an emotion to explore its layer.</p>
<div class="emotion-tabs" id="emotionTabs">
<button class="etab active" data-tab="0" style="border-color:rgba(255,217,61,0.3);background:rgba(255,217,61,0.08);">
<span class="etab-dot" style="background:var(--joy);box-shadow:0 0 8px var(--joy);"></span>
<span style="color:var(--joy);">Foundation Receiving</span>
</button>
<button class="etab" data-tab="1" style="">
<span class="etab-dot" style="background:var(--sadness);"></span>
<span>Foundation Responding</span>
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<button class="etab" data-tab="2" style="">
<span class="etab-dot" style="background:var(--anger);"></span>
<span>Dimensional</span>
</button>
<button class="etab" data-tab="3" style="">
<span class="etab-dot" style="background:var(--disgust);"></span>
<span>Appraisal</span>
</button>
<button class="etab" data-tab="4" style="">
<span class="etab-dot" style="background:var(--fear);"></span>
<span>Values</span>
</button>
<button class="etab" data-tab="5" style="">
<span class="etab-dot" style="background:var(--ennui);"></span>
<span>Social</span>
</button>
</div>
<!-- Tab 0 -->
<div class="etab-content active" data-content="0">
<div class="tax-detail" style="border-color:rgba(255,217,61,0.2);">
<div class="tax-detail-left">
<div class="tax-big-num" style="color:var(--joy);">01</div>
<div class="tax-layer-name" style="color:var(--joy);">Foundation<br><em>Receiving</em></div>
<p class="tax-desc">How an agent perceives emotional signals — basic emotion labels, confidence under uncertainty, sarcasm detection, and contextual lexical cues. The perceptual bedrock of emotional intelligence.</p>
<div class="tax-theories">
<span class="theory-pill">Ekman 1992</span>
<span class="theory-pill">Russell 1980</span>
<span class="theory-pill">Brown & Levinson 1987</span>
<span class="theory-pill">Tversky & Kahneman 1974</span>
</div>
</div>
<div class="tax-subcats">
<div class="subcat-item"><span class="subcat-dot" style="background:var(--joy);"></span>Basic Emotion Labels</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--joy);"></span>Confidence & Uncertainty</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--joy);"></span>Contextual Lexical Cues</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--joy);"></span>Neutral vs. Emotional</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--joy);"></span>Edge Cases (Sarcasm)</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--joy);"></span>Acknowledgment Types</div>
<div class="subcat-item" style="grid-column:1/-1;"><span class="subcat-dot" style="background:var(--joy);"></span>Politeness & Style</div>
</div>
</div>
</div>
<!-- Tab 1 -->
<div class="etab-content" data-content="1">
<div class="tax-detail" style="border-color:rgba(74,144,217,0.2);">
<div class="tax-detail-left">
<div class="tax-big-num" style="color:var(--sadness);">02</div>
<div class="tax-layer-name" style="color:var(--sadness);">Foundation<br><em>Responding</em></div>
<p class="tax-desc">Formulating replies under emotional uncertainty without over-inferring. Covers minimal emotional inference (avoid projecting) and error recovery when misunderstandings arise.</p>
<div class="tax-theories">
<span class="theory-pill">Russell 2003</span>
<span class="theory-pill">Brennan 1998</span>
</div>
</div>
<div class="tax-subcats">
<div class="subcat-item"><span class="subcat-dot" style="background:var(--sadness);"></span>Minimal Emotional Inference</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--sadness);"></span>Error Recovery</div>
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<!-- Tab 2 -->
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<div class="tax-big-num" style="color:var(--anger);">03</div>
<div class="tax-layer-name" style="color:var(--anger);">Dimensional<br><em>Layer</em></div>
<p class="tax-desc">Representing affect along valence–arousal space. Captures mixed emotions (excited and guilty simultaneously), and temporal emotion trajectories — improving, worsening, or fluctuating over a conversation.</p>
<div class="tax-theories">
<span class="theory-pill">Russell's Circumplex 1980</span>
<span class="theory-pill">Plutchik 1982</span>
<span class="theory-pill">Bradley & Lang 1999</span>
</div>
</div>
<div class="tax-subcats">
<div class="subcat-item"><span class="subcat-dot" style="background:var(--anger);"></span>Valence Scale</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--anger);"></span>Arousal Scale</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--anger);"></span>Mixed Emotion Detection</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--anger);"></span>Temporal Emotion</div>
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</div>
</div>
<!-- Tab 3 -->
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<div class="tax-detail" style="border-color:rgba(39,174,96,0.2);">
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<div class="tax-big-num" style="color:var(--disgust);">04</div>
<div class="tax-layer-name" style="color:var(--disgust);">Appraisal<br><em>Layer</em></div>
<p class="tax-desc">Causal and ethical reasoning — inferring causes of emotion (internal, external, implicit), tracking context across turns, cultural sensitivity, and detecting distress escalation. Based on Lazarus's appraisal theory.</p>
<div class="tax-theories">
<span class="theory-pill">Lazarus 1991</span>
<span class="theory-pill">Kahneman 2011</span>
<span class="theory-pill">Mesquita 2010</span>
</div>
</div>
<div class="tax-subcats">
<div class="subcat-item"><span class="subcat-dot" style="background:var(--disgust);"></span>Cause/Consequence Inference</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--disgust);"></span>Prioritization of Response</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--disgust);"></span>Cultural Sensitivity</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--disgust);"></span>Two-Turn Context Tracking</div>
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</div>
</div>
<!-- Tab 4 -->
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<div class="tax-big-num" style="color:var(--fear);">05</div>
<div class="tax-layer-name" style="color:var(--fear);">Values<br><em>Layer</em></div>
<p class="tax-desc">Higher-order EI: ethical safeguards with tiered intervention (mild → moderate → crisis), emotionally intelligent persistence, and long-term emotional memory across the conversation. Based on Goleman's EI framework.</p>
<div class="tax-theories">
<span class="theory-pill">Goleman 1995</span>
<span class="theory-pill">Mitchell et al. 2021</span>
<span class="theory-pill">Kahneman 2011</span>
</div>
</div>
<div class="tax-subcats">
<div class="subcat-item"><span class="subcat-dot" style="background:var(--fear);"></span>EI Persistence</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--fear);"></span>Ethical Safeguards</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--fear);"></span>Intervention & Escalation</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--fear);"></span>Long-term Emotional Memory</div>
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<!-- Tab 5 -->
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<div class="tax-big-num" style="color:var(--ennui);">06</div>
<div class="tax-layer-name" style="color:var(--ennui);">Social<br><em>Layer</em></div>
<p class="tax-desc">Theory of Mind, conflict mediation across personal misunderstandings and deep-seated conflicts, cultural sensitivity across regional and generational differences, and social ethics. The highest-order EI skills.</p>
<div class="tax-theories">
<span class="theory-pill">Premack & Woodruff 1978</span>
<span class="theory-pill">Hofstede 2001</span>
<span class="theory-pill">Mesquita 2010</span>
</div>
</div>
<div class="tax-subcats">
<div class="subcat-item"><span class="subcat-dot" style="background:var(--ennui);"></span>Theory of Mind</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--ennui);"></span>Conflict Mediation</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--ennui);"></span>Cultural Sensitivity</div>
<div class="subcat-item"><span class="subcat-dot" style="background:var(--ennui);"></span>Social Ethics</div>
</div>
</div>
</div>
</section>
<!-- RESULTS -->
<section id="results" class="section reveal">
<div class="section-label" style="color:var(--disgust);"><span style="background:var(--disgust);display:inline-block;"></span> Performance</div>
<h2 class="section-title">Model Comparison</h2>
<p class="section-sub">Zero-shot evaluation on EiCAP-Bench. Macro accuracy across 24 subcategories. Chance = 0.25.</p>
<div class="model-race" id="raceChart">
<div class="race-row">
<div class="race-model">Qwen-2.5-7B-Instruct <small>Proprietary instruction data — upper bound</small></div>
<div class="race-track"><div class="race-fill" data-width="78" style="background:linear-gradient(90deg,rgba(255,217,61,0.6),var(--joy));"></div></div>
<div><div class="race-score" style="color:var(--joy);">78.0%</div><div class="race-sig" style="color:var(--text-muted);">ceiling</div></div>
</div>
<div class="race-row">
<div class="race-model">EiCAP-SFT Model <small>Qwen-Base + LoRA on EiCAP corpus (~0.8% params)</small></div>
<div class="race-track"><div class="race-fill" data-width="54.06" style="background:linear-gradient(90deg,rgba(39,174,96,0.6),var(--disgust));"></div></div>
<div><div class="race-score" style="color:var(--disgust);">54.06%</div><div class="race-sig" style="color:var(--disgust);">18/24 sig.</div></div>
</div>
<div class="race-row">
<div class="race-model">Qwen-2.5-7B-Base <small>Pre-trained backbone — no fine-tuning</small></div>
<div class="race-track"><div class="race-fill" data-width="50.25" style="background:linear-gradient(90deg,rgba(255,255,255,0.15),rgba(255,255,255,0.35));"></div></div>
<div><div class="race-score" style="color:var(--text-muted);">50.25%</div><div class="race-sig">baseline</div></div>
</div>
<div class="race-row">
<div class="race-model">Gemma-2-9B-Instruct <small>Google DeepMind</small></div>
<div class="race-track"><div class="race-fill" data-width="71" style="background:linear-gradient(90deg,rgba(74,144,217,0.4),var(--sadness));"></div></div>
<div><div class="race-score" style="color:var(--sadness);">71.0%</div><div class="race-sig"></div></div>
</div>
<div class="race-row">
<div class="race-model">UC-SFT Model <small>Qwen-Base + LoRA on UltraChat (generic)</small></div>
<div class="race-track"><div class="race-fill" data-width="43.93" style="background:linear-gradient(90deg,rgba(232,64,64,0.4),var(--anger));"></div></div>
<div><div class="race-score" style="color:var(--anger);">43.93%</div><div class="race-sig" style="color:var(--anger);">↓ hurts EI</div></div>
</div>
<div class="race-row">
<div class="race-model">LLaMA-3-8B-Instruct <small>Meta AI</small></div>
<div class="race-track"><div class="race-fill" data-width="36" style="background:linear-gradient(90deg,rgba(155,89,182,0.3),var(--fear));"></div></div>
<div><div class="race-score" style="color:var(--fear);">36.0%</div><div class="race-sig"></div></div>
</div>
<div class="race-row">
<div class="race-model">LLaMA-3-8B <small>Base variant</small></div>
<div class="race-track"><div class="race-fill" data-width="13" style="background:rgba(255,255,255,0.1);"></div></div>
<div><div class="race-score" style="color:var(--text-muted);">13.0%</div><div class="race-sig"></div></div>
</div>
</div>
<p style="font-size:12px;color:var(--text-muted);">Significance: paired bootstrap (10,000 resamples), Benjamini–Hochberg FDR correction, α=0.05. Layer accuracy (EiCAP-SFT): Foundation 63.3% · Dimensional 50.8% · Appraisal 48.6% · Values 42.5% · Social 59.0%.</p>
</section>
<!-- LEADERBOARD -->
<section id="leaderboard" class="section reveal">
<div class="section-label" style="color:var(--anger);"><span style="background:var(--anger);display:inline-block;"></span> Rankings</div>
<h2 class="section-title">Leaderboard</h2>
<p class="section-sub">All evaluated models ranked by overall macro accuracy on EiCAP-Bench.</p>
<div class="lb-wrap">
<table class="lb">
<thead>
<tr>
<th>#</th>
<th>Model</th>
<th>Type</th>
<th>Overall</th>
<th>Foundation</th>
<th>Dimensional</th>
<th>Appraisal</th>
<th>Values</th>
<th>Social</th>
<th>Sig. gains</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="rank-medal">🥇</span></td>
<td class="model-name-cell">EiCAP-SFT<small>Qwen-2.5-7B + LoRA on EiCAP corpus</small></td>
<td><span class="pill" style="background:rgba(39,174,96,0.15);color:var(--disgust);">Fine-tuned</span></td>
<td class="score-hi" style="color:var(--disgust);">54.06%</td>
<td>63.3%</td><td>50.8%</td><td>48.6%</td><td>42.5%</td><td>59.0%</td>
<td><span class="sig-badge" style="background:rgba(39,174,96,0.15);color:var(--disgust);">18 / 24</span></td>
</tr>
<tr>
<td><span class="rank-medal">🥈</span></td>
<td class="model-name-cell">Qwen-2.5-7B-Instruct<small>Proprietary — upper bound</small></td>
<td><span class="pill" style="background:rgba(255,217,61,0.1);color:var(--joy);">Instruct</span></td>
<td class="score-hi" style="color:var(--joy);">78.0%</td>
<td>78%</td><td>83%</td><td>75%</td><td>89%</td><td>87%</td>
<td><span style="font-size:11px;color:var(--text-muted);">ceiling</span></td>
</tr>
<tr>
<td><span class="rank-medal">🥉</span></td>
<td class="model-name-cell">Gemma-2-9B-Instruct<small>Google DeepMind</small></td>
<td><span class="pill" style="background:rgba(74,144,217,0.1);color:var(--sadness);">Instruct</span></td>
<td>71.0%</td><td>66%</td><td>64%</td><td>73%</td><td>74%</td><td>80%</td>
<td>—</td>
</tr>
<tr>
<td style="color:var(--text-muted);">4</td>
<td class="model-name-cell">Qwen-2.5-7B-Base<small>Pre-trained backbone</small></td>
<td><span class="pill" style="background:rgba(255,255,255,0.06);color:var(--text-muted);">Base</span></td>
<td>50.25%</td><td>52%</td><td>49%</td><td>47%</td><td>50%</td><td>56%</td><td>—</td>
</tr>
<tr>
<td style="color:var(--text-muted);">5</td>
<td class="model-name-cell">UC-SFT Model<small>Qwen-Base + UltraChat LoRA</small></td>
<td><span class="pill" style="background:rgba(255,255,255,0.06);color:var(--text-muted);">Fine-tuned</span></td>
<td style="color:var(--anger);">43.93%</td><td>47%</td><td>46%</td><td>31%</td><td>49%</td><td>41%</td>
<td><span class="sig-badge" style="background:rgba(232,64,64,0.1);color:var(--anger);">7 / 24</span></td>
</tr>
<tr>
<td style="color:var(--text-muted);">6</td>
<td class="model-name-cell">Gemma-2-9B<small>Base variant</small></td>
<td><span class="pill" style="background:rgba(255,255,255,0.06);color:var(--text-muted);">Base</span></td>
<td>44.0%</td><td>43%</td><td>40%</td><td>53%</td><td>43%</td><td>40%</td><td>—</td>
</tr>
<tr>
<td style="color:var(--text-muted);">7</td>
<td class="model-name-cell">LLaMA-3-8B-Instruct<small>Meta AI</small></td>
<td><span class="pill" style="background:rgba(155,89,182,0.1);color:var(--fear);">Instruct</span></td>
<td>36.0%</td><td>31%</td><td>39%</td><td>47%</td><td>47%</td><td>35%</td><td>—</td>
</tr>
<tr>
<td style="color:var(--text-muted);">8</td>
<td class="model-name-cell">LLaMA-3-8B<small>Base variant</small></td>
<td><span class="pill" style="background:rgba(255,255,255,0.06);color:var(--text-muted);">Base</span></td>
<td style="color:var(--text-muted);">13.0%</td><td>9%</td><td>13%</td><td>19%</td><td>18%</td><td>11%</td><td>—</td>
</tr>
</tbody>
</table>
</div>
<p style="font-size:12px;color:var(--text-muted);margin-top:12px;">Note: Qwen-2.5-7B-Instruct is shown for reference as the proprietary upper bound. EiCAP-SFT starts from Base with ~0.8% parameters updated.</p>
</section>
<!-- DATASET -->
<section id="dataset" class="section reveal">
<div class="section-label" style="color:var(--sadness);"><span style="background:var(--sadness);display:inline-block;"></span> Resources</div>
<h2 class="section-title">Datasets & Models</h2>
<p class="section-sub">Two strictly disjoint resources. Verified lexically (TF-IDF cosine = 0.13) and semantically (SBERT cosine = 0.73).</p>
<div class="ds-grid">
<div class="ds-card" style="background:linear-gradient(160deg,rgba(155,89,182,0.12),rgba(13,13,26,0.8));">
<div class="ds-header" style="border-bottom:1px solid rgba(155,89,182,0.2);">
<span class="pill" style="background:rgba(155,89,182,0.15);color:var(--fear);margin-bottom:10px;display:inline-block;">Evaluation Only</span>
<h3>EiCAP-Bench</h3>
<p>Multi-turn forced-choice benchmark — strictly disjoint from training data</p>
</div>
<div class="ds-body">
<div class="ds-row"><span class="ds-row-label">Total probes</span><span class="ds-row-val">3,174</span></div>
<div class="ds-row"><span class="ds-row-label">Format</span><span class="ds-row-val">1-vs-3 forced choice</span></div>
<div class="ds-row"><span class="ds-row-label">Turns per dialogue</span><span class="ds-row-val">2</span></div>
<div class="ds-row"><span class="ds-row-label">Avg words/turn</span><span class="ds-row-val">97</span></div>
<div class="ds-row"><span class="ds-row-label">Taxonomy nodes covered</span><span class="ds-row-val">53 / 53</span></div>
<div class="ds-row"><span class="ds-row-label">Inter-annotator κ</span><span class="ds-row-val" style="color:var(--disgust);">0.976</span></div>
<div class="ds-row"><span class="ds-row-label">License</span><span class="ds-row-val">CC BY 4.0</span></div>
</div>
<div class="ds-footer">
<a href="https://huggingface.co/datasets/EICAP-Team/EICAP-BENCH_dataset" class="ds-btn" style="background:var(--fear);color:white;box-shadow:0 4px 20px rgba(155,89,182,0.4);">🤗 Download</a>
<a href="#examples" class="ds-btn" style="background:rgba(255,255,255,0.07);color:var(--text-bright);border:1px solid rgba(255,255,255,0.1);">View Examples</a>
</div>
</div>
<div class="ds-card" style="background:linear-gradient(160deg,rgba(39,174,96,0.12),rgba(13,13,26,0.8));">
<div class="ds-header" style="border-bottom:1px solid rgba(39,174,96,0.2);">
<span class="pill" style="background:rgba(39,174,96,0.15);color:var(--disgust);margin-bottom:10px;display:inline-block;">Training Corpus</span>
<h3>EiCAP-SFT</h3>
<p>Taxonomy-aligned instruction-tuning with 3 stylistic variants per node</p>
</div>
<div class="ds-body">
<div class="ds-row"><span class="ds-row-label">Total dialogues</span><span class="ds-row-val">152,820</span></div>
<div class="ds-row"><span class="ds-row-label">Base dialogues</span><span class="ds-row-val">53,340</span></div>
<div class="ds-row"><span class="ds-row-label">Turns per dialogue</span><span class="ds-row-val">4</span></div>
<div class="ds-row"><span class="ds-row-label">Dialogues per layer</span><span class="ds-row-val">8,890</span></div>
<div class="ds-row"><span class="ds-row-label">Validation set</span><span class="ds-row-val">2,400 held-out</span></div>
<div class="ds-row"><span class="ds-row-label">Lexical diversity (TTR)</span><span class="ds-row-val" style="color:var(--disgust);">0.87</span></div>
<div class="ds-row"><span class="ds-row-label">License</span><span class="ds-row-val">CC BY 4.0</span></div>
</div>
<div class="ds-footer">
<a href="https://huggingface.co/datasets/EICAP-Team/EICAP-SFT-DATASET" class="ds-btn" style="background:var(--disgust);color:white;box-shadow:0 4px 20px rgba(39,174,96,0.4);">🤗 Download</a>
<a href="https://huggingface.co/EICAP-Team" class="ds-btn" style="background:rgba(255,255,255,0.07);color:var(--text-bright);border:1px solid rgba(255,255,255,0.1);">Models ↗</a>
</div>
</div>
</div>
</section>
<!-- EXAMPLES -->
<section id="examples" class="section reveal">
<div class="section-label" style="color:var(--anger);"><span style="background:var(--anger);display:inline-block;"></span> Benchmark Probes</div>
<h2 class="section-title">Example Dialogues</h2>
<p class="section-sub">Multi-turn probes showing preferred vs. distractor responses. Distractors are style-matched but violate the EI principle.</p>
<div class="example-card">
<div class="ex-header" style="background:rgba(255,217,61,0.06);">
<span class="ex-layer-badge" style="background:rgba(255,217,61,0.15);color:var(--joy);">Foundation · Edge Cases</span>
<span class="ex-subcat">Heavy Sarcasm Detection</span>
</div>
<div class="ex-body">
<div class="user-bubble">"Great, my laptop froze right before the submission deadline. This day just keeps getting better 😏"</div>
<div class="resp-grid">
<div class="resp-box" style="background:rgba(232,64,64,0.07);border-color:rgba(232,64,64,0.2);">
<div class="resp-label" style="color:var(--anger);">✕ Distractor</div>
<div class="resp-text" style="color:var(--text-muted);">"It's great to hear you can find a sense of humor in such a frustrating moment! Have you thought about how you might prevent this from happening again?"</div>
<div class="resp-note" style="color:var(--anger);">Takes sarcasm at face value — misses the real anxiety entirely</div>
</div>
<div class="resp-box" style="background:rgba(39,174,96,0.07);border-color:rgba(39,174,96,0.25);">
<div class="resp-label" style="color:var(--disgust);">✓ Preferred (EiCAP-SFT)</div>
<div class="resp-text">"I'm sorry your laptop froze right before the deadline — it sounds incredibly stressful to deal with technical issues at such a critical time. I hope you managed to save your work."</div>
<div class="resp-note" style="color:var(--disgust);">Sees through sarcasm, validates real frustration, stays grounded</div>
</div>