5 papers · 1 filter
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…
GraphReview: Scientific Paper Evaluation via LLM-based Graph Evidence Expansion
Pujun Zheng, Wanying Ren, Jiacheng Yao +2
Scientific paper evaluation often involves not only assessing a manuscript itself, but also relating it to contemporaneous research and prior literature. However, existing LLM-base…
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…
Entropy-Aware Token Rejection for Improving Speculative Decoding
Tiancheng Su, Meicong Zhang, Guoxiu He
Speculative decoding (SD) accelerates large language model (LLM) inference by using a lightweight draft model to propose tokens and a stronger target model to verify them. However,…
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
Boheng Sheng, Jiacheng Yao, Meicong Zhang +1
Large language models (LLMs) often struggle to accurately read and comprehend extremely long texts. Current methods for improvement typically rely on splitting long contexts into f…