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cs.CL2026
How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning
Haoyang Chen, Yi Liu, Jianzhi Shao +3
Thinking LLMs produce reasoning traces before answering. Prior activation steering work mainly targets on shaping these traces. It remains less understood how answer tokens actuall…
cs.CL2025
Token Constraint Decoding Improves Robustness on Question Answering for Large Language Models
Jui-Ming Yao, Hao-Yuan Chen, Zi-Xian Tang +4
Large Language Models (LLMs) have demonstrated impressive performance on multiple-choice question answering (MCQA) benchmarks, yet they remain highly vulnerable to minor input pert…
cs.CL2025
Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
Cheng Peng Huang, Hao-Yuan Chen
Large language models (LLMs) demonstrate strong capabilities in natural language processing but remain prone to hallucinations, generating factually incorrect or fabricated content…