4 papers
Internalizing Academic Writing Workflows for Introduction Generation via Struct-Aware Policy Learning
Meicong Zhang, Tiancheng Su, Jiahao Cheng +3
Generating a rigorous paper introduction with large language models (LLMs) remains challenging, since it requires coordinating background, gap identification, method and contributi…
Entropy-Aware Speculative Decoding Toward Improved LLM Reasoning
Tiancheng Su, Meicong Zhang, Guoxiu He
Speculative decoding (SD) accelerates large language model (LLM) reasoning by using a small draft model to generate candidate tokens, which the target LLM either accepts directly o…
Eliminating Agentic Workflow for Introduction Generation with Parametric Stage Tokens
Meicong Zhang, Tiancheng su, Guoxiu He
In recent years, using predefined agentic workflows to guide large language models (LLMs) for literature classification and review has become a research focus. However, writing res…
Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
Jiahao Cheng, Tiancheng Su, Jia Yuan +5
Large Language Models (LLMs) often exhibit \textit{hallucinations}, generating factually incorrect or semantically irrelevant content in response to prompts. Chain-of-Thought (CoT)…