3 papers
cs.LG2026
AdaptArena: Evaluating Test-Time Personalization of Web Agents
Dongchan Shin, Xing Han Lù, Jiaqi Deng +7
Large language model (LLM) agents have demonstrated strong performance on complex web navigation tasks, yet they remain brittle in real-world settings where user intentions are und…
cs.LG2026
Data Scout: Targeted Web Crawling for Domain-Specific Pretraining Corpora
Chirag Garg, Eelaaf Zahid, Farhan Ahmed +3
The dominant approach to building domain-specific pretraining corpora is to filter large web archives such as CommonCrawl. This works well for popular domains but breaks down for s…
cs.CL2026
NC-Bench: An LLM Benchmark for Evaluating Conversational Competence
Robert J. Moore, Sungeun An, Farhan Ahmed +1
Existing LLM benchmarks evaluate what models say, such as whether answers are correct, faithful, or helpful, but they do not test whether models produce the right type of conversat…