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cs.CL2026
OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image Understanding
Gengxu Li, Yuan Wu, Yi Chang
Text-rich image understanding requires multimodal large language models (MLLMs) to organize OCR (Optical Character Recognition)-grounded evidence across words, layout, fields, char…
cs.CL2025
Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models
Jinzhe Li, Gengxu Li, Yi Chang +1
Large language models (LLMs) have witnessed rapid advancements, demonstrating remarkable capabilities. However, a notable vulnerability persists: LLMs often uncritically accept fla…
cs.CL2025
Length-Controlled Margin-Based Preference Optimization without Reference Model
Gengxu Li, Tingyu Xia, Yi Chang +1
Direct Preference Optimization (DPO) is a widely adopted offline algorithm for preference-based reinforcement learning from human feedback (RLHF), designed to improve training simp…