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Workshop
Teaching LLMs How To Learn with Contextual Fine-Tuning
Younwoo Choi · Muhammad Adil Asif · Ziwen Han · John Willes · Rahul Krishnan
Workshop
Sun 16:30 Knowledge Distillation for Teaching Symmetry Invariances
Patrick Odagiu · Nicole Nobili · Fabian Dionys Schrag · Yves Bicker · Yuhui Ding
Workshop
Attention Bias as an Inductive Bias: How to Teach Transformers Simple Arithmetic
Shaoxiong Duan · Yining Shi · Wei Xu
Workshop
Teaching Invariance Using Privileged Mediation Information
Dylan Zapzalka · Maggie Makar
Workshop
Does Maximizing Neural Regression Scores Teach Us About The Brain?
Rylan Schaeffer · Mikail Khona · Sarthak Chandra · Mitchell Ostrow · Brando Miranda · Sanmi Koyejo
Workshop
Modeling Cognitive Strategies in Teaching
Sevan Harootonian · Yael Niv · Tom Griffiths · Mark Ho
Workshop
A Multi-agent Reinforcement Learning Study of Evolution of Communication and Teaching under Libertarian and Utilitarian Governing Systems
Aslan Satary Dizaji
Workshop
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha · Abhinav Kumar · Atharva Pandey · Abbavaram Gowtham Reddy · Vineeth N Balasubramanian · Amit Sharma
Workshop
Knowledge Distillation for Teaching Symmetry Invariances
Patrick Odagiu · Nicole Nobili · Fabian Dionys Schrag · Yves Bicker · Yuhui Ding
Workshop
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images
Sami Baral · Li Lucy · Ryan Knight · Alice Ng · Luca Soldaini · Neil Heffernan · Kyle Lo
Workshop
Sat 9:00 Multi-Teacher Distillation: An Ensemble-Then-Distill Approach
Lili Mou
Workshop
Sat 9:00 Teaching causal reasoning to language models
Amit Sharma