3 papers
cs.CL2026
GRACE: Grounded Adversarial Reasoning over Canadian Law
Jiakang Xu, Wantong Huo, Udom Silparcha +1
Large language models have shown strong performance across a range of legal tasks, but existing benchmarks rarely evaluate the ability to take and defend a legal position, reason u…
cs.AI2026
Bioinfoysis Technical Report
Qingyang Shao, Xin Zhang, Zhouyang Yuan +25
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
Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
Sterling Huang, Abigayle Brown, Jiyoo Noh +4
Prompt compression reduces inference cost and context length in large language models, but prior evaluations focus mainly on autoregressive architectures. This study examines wheth…