Add 18 new paper summaries across 5 categories + Ollama generation scripts + NeurIPS 2025 KB builder - #1
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Add 18 new paper summaries across 5 categories + Ollama generation scripts + NeurIPS 2025 KB builder#1odilitime wants to merge 4 commits into
odilitime wants to merge 4 commits into
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… social-science, interactive-agents Training: - Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning (2411.05193) - MeRF: Motivation-enhanced Reinforcement Finetuning (2506.18485) - CHORD: Harmonizing SFT and RL via Dynamic Weighting (2508.11408) - Unextractable Protocol Models: Collaborative Training without Weight Materialization (2605.23464) AI Psychology: - BIG5-CHAT: Shaping LLM Personalities Through Training (2410.16491) - TRAIT: Personality Testset for LLMs with Psychometrics (2406.14703) Mental Health: - PsyLLM: Integrating Diagnostic and Therapeutic Reasoning (2505.15715) - SoulSpeak: LLM-enabled Psychotherapy Chatbot (2412.02987) - CounselBench: Benchmark for LLMs in Mental Health (2506.08584) Social Science: - LLM Social Simulations Are a Promising Research Method (2504.02234) - Automated Social Science: LLMs as Scientist and Subjects (2404.11794) - Identifying Non-Replicable Social Science Studies with LLMs (2503.10671) - LLM Agents for Piloting Social Experiments (2508.08678) Interactive Agents: - DPT-Agent: Dual Process Theory for Human-AI Collaboration (2502.11882) - Mutual Theory of Mind in Human-AI Collaboration (2409.08811) - Scaling LLM-based Multi-Agent Collaboration (2406.07155) - ChatCollab: Human-AI Collaborative Software Teams (2412.01992) - ReHAC: RL-based Human-Agent Collaboration (2402.12914)
generate_summaries.py: CLI tool using qwen3.6 to generate structured paper summaries from arxiv. Supports batch and single-paper modes. build_papers_kb.py: Knowledge base builder aggregating 5 sources (The AI Timeline, DAIR.AI, llm-research-summaries, NeurIPS 2025, arxiv-daily) into a searchable JSONL corpus.
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Pull request overview
Note
Copilot was unable to run its full agentic suite in this review.
Adds a large batch of new arXiv paper summary markdown files across training/, models-review/, social-science/, and interactive-agents/, plus a helper script to generate summaries via Ollama and a .gitignore update.
Changes:
- Added many new structured paper summaries (mostly new files) across multiple topic folders
- Standardized a few existing summaries to use
**Source**: [arXiv:...]link formatting - Added
scripts/generate_summaries.pyto automate summary generation + added.DS_Storeto.gitignore
Reviewed changes
Copilot reviewed 31 out of 32 changed files in this pull request and generated 8 comments.
Show a summary per file
| File | Description |
|---|---|
| training/unextractable-protocol-models-collaborative-training-and-inference-without-weight-materialization_2605.23464.md | Add paper summary |
| training/self-adapting-language-models_2506.10943.md | Add paper summary |
| training/q-sft-q-learning-for-language-models-via-supervised-fine-tuning_2411.05193.md | Add paper summary |
| training/on-policy-rl-meets-off-policy-experts-harmonizing-supervised-fine-tuning-and-reinforcement-learning-via-dynamic-weightin_2508.11408.md | Add paper summary |
| training/inheritune-Smaller-Yet-More-Attentive-Language-Models-2404.08634.md | Standardize Source link format |
| training/inference-time-scaling-for-generalist-reward-modeling_2504.02495.md | Add paper summary |
| training/absolute-zero-reinforced-self-play-reasoning-with-zero-data_2505.03335.md | Add paper summary |
| training/a-simple-motivation-can-enhance-reinforcement-finetuning-of-large-reasoning-models_2506.18485.md | Add paper summary |
| training/InfiniPot-Efficiently-Handling-Long-Input-Contexts_LLM_Memory-Constrained-Devices-2410.01518.md | Standardize Source link format |
| social-science/mental-health/counselbench-a-large-scale-expert-evaluation-and-adversarial-benchmarking-of-large-language-models-in-mental-health-ques_2506.08584.md | Add paper summary |
| social-science/mental-health/beyond-empathy-integrating-diagnostic-and-therapeutic-reasoning-with-large-language-models-for-mental-health-counseling_2505.15715.md | Add paper summary |
| social-science/mental-health/advancing-conversational-psychotherapy-integrating-privacy-dual-memory-and-domain-expertise-with-large-language-models_2412.02987.md | Add paper summary |
| social-science/llm-social-simulations-are-a-promising-research-method_2504.02234.md | Add paper summary |
| social-science/identifying-non-replicable-social-science-studies-with-language-models_2503.10671.md | Add paper summary |
| social-science/exploring-large-language-model-agents-for-piloting-social-experiments_2508.08678.md | Add paper summary |
| social-science/automated-social-science-language-models-as-scientist-and-subjects_2404.11794.md | Add paper summary |
| social-science/ai-psychology/do-llms-have-distinct-and-consistent-personality-trait-personality-testset-designed-for-llms-with-psychometrics_2406.14703.md | Add paper summary |
| social-science/ai-psychology/big5-chat-shaping-llm-personalities-through-training-on-human-grounded-data_2410.16491.md | Add paper summary |
| scripts/generate_summaries.py | Add Ollama-based generator script for summaries |
| models-review/transformers-without-normalization_2503.10622.md | Add paper summary |
| models-review/q-sparse-all-large-language-models-can-be-fully-sparsely-activated_2407.10969.md | Add paper summary |
| models-review/energy-based-transformers-are-scalable-learners-and-thinkers_2507.02092.md | Add paper summary |
| models-review/demystifying-long-chain-of-thought-reasoning-in-llms_2502.03373.md | Add paper summary |
| models-review/bitnet-b1-58-2b4t-technical-report_2504.12285.md | Add paper summary |
| models-review/MLLM-Landscape_Review-Current-Surveys.md | Standardize Source link format |
| interactive-agents/scaling-large-language-model-based-multi-agent-collaboration_2406.07155.md | Add paper summary |
| interactive-agents/mutual-theory-of-mind-in-human-ai-collaboration-an-empirical-study-with-llm-driven-ai-agents-in-a-real-time-shared-works_2409.08811.md | Add paper summary |
| interactive-agents/leveraging-dual-process-theory-in-language-agent-framework-for-real-time-simultaneous-human-ai-collaboration_2502.11882.md | Add paper summary |
| interactive-agents/large-language-model-based-human-agent-collaboration-for-complex-task-solving_2402.12914.md | Add paper summary |
| interactive-agents/chatcollab-exploring-collaboration-between-humans-and-ai-agents-in-software-teams_2412.01992.md | Add paper summary |
| .gitignore | Ignore macOS .DS_Store files |
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
| return s[:120] | ||
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| def generate_one(arxiv_id, target_dir, model=MODEL, force=False): |
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| fname = f"{slugify(meta['title'])}_{arxiv_id}.md" | ||
| repo_path = REPO_BASE / target_dir / fname | ||
| repo_path.write_text(content, encoding="utf-8") |
| published = entry.find("a:published", NS).text[:10] | ||
| sections = [] | ||
| try: | ||
| html_url = f"https://arxiv.org/html/{arxiv_id}" |
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| REPO_BASE = Path.home() / "Sites" / "llm-research-summaries" | ||
| BACKUP_DIR = Path.home() / "Sites" / "hermes-lean" / "papers_kb" / "generated_summaries" |
| @@ -0,0 +1,384 @@ | |||
| # On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Global Weighting via Dynamic Weighting | |||
- Add --force flag existence check (skip existing files) - Fix BACKUP_DIR.mkdir with parents=True - Use HTTPS for arxiv API (http→https) - Capture all arxiv categories (a:category) + primary category - Add --repo-base and --backup-dir CLI args for portability - Fix CHORD paper filename (weightin→weighting) and title
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Summary
Adds 18 new LLM-generated paper summaries and two Python scripts for AI/ML research paper knowledge management.
New Paper Summaries (18)
Training (4):
AI Psychology (2):
Mental Health (3):
Social Science (4):
Interactive Agents (5):
New Scripts
--arxiv). Produces clean markdown matching the repo's style with section-by-section bullet-pointed summaries.All summaries generated with
qwen3.6:latest(36B Q4_K_M) via local Ollama.