一作ACL 2026Findings· Findings of ACL
Can Small LLM s Learn a Robust Theory of Mind via RLVR ? Investigating Generalization through the False-Belief Task
Sneheel Sarangi · Hanan Salam
摘要
Recent advancements in large language models (LLMs) have demonstrated emergent capabilities in complex reasoning, largely spurred by rule-based Reinforcement Learning (RL) techniques applied during post-training. This has raised the question of whether similar methods can instill more nuanced, hu...