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Author

Cheston Tan

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#natural language process... Preprint Oct 2026

Reasoning or Pattern Exploitation? Mechanistic Insights from RL-Trained Language Models

Large language models (LLMs) are increasingly described as acquiring"reasoning"skills after reinforcement learning with verifiable rewards. However, whether these gains reflect genuine reasoning or more superficial adaptations remains underexplored. In this work, we probe LLMs trained in a finite and exhaustively analy...

Aishik Nagar, Cheston Tan · 0 citations
#natural language process... Preprint Mar 2026

CoMMET: A Psychologically Grounded Benchmark for Evaluating Theory of Mind in Multimodal LLMs

A new multimodal benchmark dataset, CoMMET, a comprehensive mental states and moral evaluation task inspired by the Theory of Mind Booklet Task is proposed, which is the first psychology-grounded benchmark to evaluate MLLMs across multiple mental states in a multimodal, open-ended, and multi-turn setting.

Rui-Rui Chen, Wei-Feng Jiang, Cheng-Wei Qin et al. · 0 citations

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