5 papers
Enhancing Software Engineering Through Closed-Loop Memory Optimization
Xuehang Guo, Zora Zhiruo Wang, Qingyun Wang +2
Large language models (LLMs) have enabled powerful software engineering (SE) agents capable of navigating complex codebases and resolving real-world issues. However, these agents r…
SciDER: Scientific Data-centric End-to-end Researcher
Ke Lin, Owais Aijaz, Yilin Lu +3
While large language models accelerate scientific discovery, existing agents face severe limitations in adaptability, domain generalization, and multimodal scalability, often strug…
When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
Jiaqi Wei, Xuehang Guo, Pengfei Yu +5
In single-stream autoregressive interfaces, the same tokens both update the model state and constitute an irreversible public commitment. This coupling creates a silence tax: addit…
CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation
Yee Man Choi, Xuehang Guo, Yi R. Fung +1
Large Language Models (LLMs) have emerged as powerful assistants for scientific writing. However, concerns remain about the quality and reliability of the generated text, including…
Anagent For Enhancing Scientific Table & Figure Analysis
Xuehang Guo, Zhiyong Lu, Tom Hope +1
In scientific research, analysis requires accurately interpreting complex multimodal knowledge, integrating evidence from different sources, and drawing inferences grounded in doma…