3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Learning from interaction experience is essential for enabling large language models to continually improve during deployment. Context distillation offers a promising path: privileged information extracted from experience is provided to a teacher, whose behavior is then distilled into a student model that has no access...
Tencent WorkBuddy Bench is introduced, a multi-domain evaluation suite for coding agents, and its construction methodology, scoring protocol, and a cross-model leaderboard are documents, with a cross-model leaderboard across several model families.
This position paper argues that to claim a "long-horizon failure", benchmarks must compare actual full-task success against a baseline prediction built from short, individual stages, and calls the log-ratio between this prediction and actual success the horizon residual.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
