Author

Jinnan Li

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#artificial intelligence Preprint Sep 2026

What if LLMs Ate Their Words: Causal History Effects in Multi-Turn Interaction

Multi-turn interaction creates a feedback process in which an LLM's previous responses become context for later behavior. Prior work shows substantial multi-turn degradation and that assistant-generated history can affect later behavior. However, it remains unclear how these effects manifest across models, tasks, turns...

Jinnan Li, Zheren Fu, Yue Wang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

MMPCBench: Benchmarking Multimodal Large Language Models on Proactive Critique of Flawed Inputs

This work proposes MMPCBench, a comprehensive framework for evaluating MLLMs' proactive critique competence, which adopts a hierarchical evaluation protocol to measure models' error detection, diagnosis and resolution performance, and applies alignment-aware metrics to assess the coherence between internal reasoning an...

Jin-Zhe Li, Geng-Xu Li, Jinnan Li et al. · 0 citations