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Conformal Prediction with Upper and Lower Bound Models
By Miao Li, Michael Klamkin, Mathieu Tanneau, Reza Zandehshahvar, and Pascal Van Hentenryck (Georgia Institute of Technology) link: https://www.arxiv.org/abs/2503.04071 Part 1: Author's Summary (1) A: Welcome everyone to today's lab meeting. We have a presentation from the authors of "
No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
Michael Krumdick, Charles Lovering, Varshini Reddy, Seth Ebner, Chris Tanner (Kensho Technologies, MIT) link:https://arxiv.org/abs/2503.05061 (1) A: Good morning, everyone! Today we have Michael Krumdick presenting his recent paper, "No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding." Michael, the floor is yours
Algorithmic Capabilities of Random Transformers
Ziqian Zhong, Jacob Andreas - Massachusetts Institute of Technology link:https://proceedings.neurips.cc/paper_files/paper/2024/file/bccdd196d798a51a4961989984a9ed4a-Paper-Conference.pdf (1) A: Welcome everyone to today's lab meeting. We're excited to have Ziqian Zhong presenting their paper "Algorithmic Capabilities of Random Transformers," which
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
Jingtong Su (NYU & Meta AI, FAIR), Julia Kempe (NYU & Meta AI, FAIR), Karen Ullrich (Meta AI, FAIR) link: https://proceedings.neurips.cc/paper_files/paper/2024/file/439bf902de1807088d8b731ca20b0777-Paper-Conference.pdf (1) A: Good afternoon, everyone! Today we have a presentation from the author about their recent paper titled "