Add Marine's and Hal's talks

Author: saeub

_events/2025-01-28-marine-carpuat.md

@@ -0,0 +1,15 @@
+---
+title: "Beyond Translation: Human-Centered NLP for Cross-Lingual Communication"
+abstract: "How can we develop NLP technology to effectively support cross-lingual communication, especially given recent progress in machine translation and multilingual language models? In this talk, I will present two main threads of work that aim to broaden the scope of machine translation to more directly support people's needs. In the first thread, I'll consider the difficulty people face when weighing the potential benefits of machine translation against the risks it may pose. This difficulty arises because users—who typically do not speak either the input or output language—often cannot assess translation quality. I will present results from a human study in medical settings, which highlights the strengths and weaknesses of state-of-the-art quality estimation techniques. Next, I'll discuss how even accurate translations can fail when users lack background knowledge that is implied in the source language. I will introduce techniques for automatically generating explicitations that explain missing context by considering cultural differences between source and target audiences. Throughout, I will discuss ongoing research directions aimed at developing human-centered NLP approaches for cross-lingual communication."
+speaker: Marine Carpuat, <br/>
+    Associate Professor, University of Maryland
+bio: "Marine Carpuat is an Associate Professor in Computer Science at the University of Maryland. Her research focuses on multilingual natural language processing and machine translation. Before joining the faculty at Maryland, Marine was a Research Scientist at the National Research Council Canada. She received a PhD in Computer Science and a MPhil in Electrical Engineering from the Hong Kong University of Science & Technology, and a Diplome d’Ingenieur from the French Grande Ecole Supelec. Marine is the recipient of an NSF CAREER award, research awards from Google and Amazon, best paper awards at the *SEM and TALN conferences, and an Outstanding Teaching Award."
+website: https://www.cs.umd.edu/~marine/
+time: January 28, 2025; 14:00–15:00
+location: LMU main building (Geschwister-Scholl-Platz 1), room A&nbsp;140
+roomfinder: https://www.lmu.de/raumfinder/#/building/bw0000/map?room=000001225_
+img: https://umiacs.umd.edu/sites/default/files/styles/optimized/public/IMG_1083_forweb.jpg
+imgalt: Portrait of Marine Carpuat
+imgside: right
+anchor: 2024-01-28-marine-carpuat
+---

_events/2025-01-29-hal-daume.md

@@ -0,0 +1,15 @@
+---
+title: "AI Interacting with People (through Language)"
+abstract: "I'll discuss three projects related to understanding how people and AI-infused systems can and should interact. In the first, I'll discuss AI communicating to people, in a shared environment, and how we can use highlighting and possible alternatives as a way to combat confabulations (aka hallucinations). In the second, I'll discuss people communicating to AI systems, and how we can leverage language's capability to describe the same behavior at multiple levels of abstraction. Finally, I'll discuss people and AI interacting at the low level of predictive text systems, and how subtle differences in the behavior of the AI system can – or can not – change people's behavior."
+speaker: Hal Daumé III, <br/>
+    Professor, University of Maryland
+# bio: ""
+# website: http://www.umiacs.umd.edu/~hal/
+time: January 29, 2025; 16:00–17:00
+location: LMU main building (Geschwister-Scholl-Platz 1), room M&nbsp;105
+roomfinder: https://www.lmu.de/raumfinder/#/building/bw0000/map?room=002101218_
+# img: 
+# imgalt: Portrait of Hal Daumé III
+# imgside: right
+anchor: 2024-01-29-hal-daume
+---