5 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
AI Assistants Overassist
Verona Teo, Raghav Jain, Tobias Gerstenberg +1
Large language models (LLMs) are increasingly used as tutors and thought partners, helping users reason through problems. While guidance from AI assistants can scaffold thinking an…
Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
Rohan Surana, Gagan Mundada, Xunyi Jiang +19
Reinforcement learning (RL) has become a central post-training tool for improving the reasoning abilities of large language models (LLMs). In these systems, the rollout, the trajec…
Using Shapley interactions to understand how models use structure
Divyansh Singhvi, Diganta Misra, Andrej Erkelens +3
Language is an intricately structured system, and a key goal of NLP interpretability is to provide methodological insights for understanding how language models represent this stru…