VAM! AI Reading Group - Paper Navigating Rifts in Human-LLM Grounding: Study and Benchmark
1) 📄 Paper: Navigating Rifts in Human-LLM Grounding: Study and Benchmark https://arxiv.org/pdf/2503.13975
3) Paper 3-line Summary: This paper studies how language models struggle with conversational grounding—the collaborative process of establishing mutual understanding that humans naturally use. By analyzing three human-assistant datasets, the researchers found that LLMs initiate clarification three times less often than humans and provide follow-up requests sixteen times less frequently. The study also shows that early grounding failures predict later interaction breakdowns, highlighting a critical limitation in current AI assistants
Recommended Action Item:
please message me if you would like to present an AI paper
to maximize engagement during the reading group, please try to read the paper in advance.
Want to present?
The list of papers will be available here: https://docs.google.com/spreadsheets/d/1HET5sjnHjwiF3IaCTipR_ZWspfgglqwdBFRWAfKBhp8/edit?usp=sharing
To connect with the group, join the Discord: https://discord.gg/teJvEejs94
Location: 333 Seymour, WeWork
Doors open at 6:50 and close at 7:05 and we won't able to bring more people in.
Timeline:
🕠 7:00 PM – Arrival & Networking.
🗣️ 7:10 PM ~ 7:55 – Paper Presentation & Discussions
About the Facilitator
Issam Laradji is a Research Scientist at ServiceNow and an Adjunct Professor at University of British Columbia. He holds a PhD in Computer Science and a PhD from the University of British Columbia, and his research interests include natural language processing, computer vision, and large-scale optimization.
Looking forward to discussing the latest AI Papers!