16 citations · 25 across the 12 of their papers we have counts for
3 papers · 1 filter
Making LLMs Say What They Think: Measuring and Improving CoT-Interpretability Alignment
Yihuai Hong, Shauli Ravfogel, Chen Zhao +1
Chain-of-thought (CoT) traces often serve as a proxy for how Large Language Models (LLMs) arrive at their answers. However, growing evidence shows that models' CoT often fails to r…
Can Agents Infer Environment from Interaction? Evidence from Agentic Automata Learning
Reef Menaged, Gili Lior, Shauli Ravfogel +2
We propose agentic automata learning to evaluate the extent to which tool-calling LLM agents can uncover hidden environments through interaction, a capability increasingly required…
From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
Or Shafran, Shaked Ronen, Omri Fahn +3
Activation decomposition methods in language models are tightly coupled to geometric assumptions on how concepts are realized in activation space. Existing approaches search for in…