Authors

Lingzhe Zhang

Publications 2

Preprint Open access

Playing social deduction games with reinforcement fine-tuned large language models

Lingzhe Zhang, Yunpeng Zhai, Tong Jia et al. · 2026

Reinforcement fine-tuning (RFT) is increasingly used in applications where large language models (LLMs) interact with humans and other agents. Here we use social deduction games to study how RFT changes LLMs' social behaviour. We let fine-tuned and base LLM agents play hidden-role games that require hidden-state infere …

Preprint Open access

GrowMTP: Can RL Grow Its Own Draft Head?

Minghua He, Lingzhe Zhang, Yuan Liu et al. · 2026

Reinforcement learning (RL) post-training drives the frontier capabilities of large language models, with its wall-clock dominated by autoregressive rollout generation. Speculative decoding is an established remedy for this bottleneck, but existing draft heads must be pretrained or warmed up before RL, introducing subs …

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