@DakingRai is one of my best. Highly recommend for any team recruiting for LLM Interp/reasoning/controllability/etc. He plans to graduate in a year or so. Go meet him at the poster session or msg him for a chat directly!
Exhibit Hall C,D,E #3815
Thu 4 Dec 4:30 p.m. PST — 7:30 p.m. PST
(1/3) Started this as a side project on a whim and had fun presenting it at the COLM 2025 XLLM-Reason-Plan Workshop recently. @XllmReasonPlan
Built a small dataset of rebus puzzles to see how VLMs reason through visual wordplay.
Dataset: huggingface.co/datasets/pmov…
We are very honored to receive the Best Paper Award! Reviewers’s comments are very insightful! We really appreciate such valuable recognition from the workshop committee!
Best Paper Award goes to Li et al., "Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation" @liruizhe94
#COLM2025 Finally, the awards!🏆 We announced one Best Paper Award, one Special Recognition Award, and two Honorable Mentions. Congrats to the authors! See 🧵👇
Honorable Mentions go to:
Li et al., "Rethinking Human Preference Evaluation of LLM Rationales", and
Rai et al., "Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones" @DakingRai
Special Recognition Award goes to Shi et al., "When Models Know More Than They Can Explain: Quantifying
Knowledge Transfer in Human-AI Collaboration" @BenShi34
Best Paper Award goes to Li et al., "Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation" @liruizhe94
Ever wonder why math reasoning fails without CoT? The bottleneck isn’t “abstraction” but “calculation”. I’ll be presenting at COLM on Friday (11–12) — come chat about reasoning × interpretability!
@Mila_Quebec@RBCBorealis
đź”—arxiv.org/pdf/2505.23701#COLM2025#EMNLP2025