3 papers
cs.AI2026
Bioinfoysis Technical Report
Qingyang Shao, Xin Zhang, Zhouyang Yuan +24
Large language model agents have shown promise in bioinformatics, but most existing systems focus primarily on producing final answers, treating planning, tool use, and code execut…
cs.CL2026
Lazy Grounding: Attacking Search Agents with Factual Evidence
Yulin Zhang, Yukun Huang, Sanxing Chen +4
Search agents mitigate hallucination by grounding their answers in retrieved web results. However, retrieval-based approaches also introduce an attack surface: agents may cite misi…
cs.AI2025
Agent Learning via Early Experience
Kai Zhang, Xiangchao Chen, Bo Liu +27
A long-term goal of language agents is to learn and improve through their own experience, ultimately outperforming humans in complex, real-world tasks. However, training agents fro…