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cs.AI2026
Seq@K: Evaluating Language Models Under Sequential Feedback
Thomson Yen, Gilbert Yang, Naimeng Ye +8
Language-model agents differ fundamentally from prior intelligent systems in their ability to learn from natural language in context. This capability enables agents to iteratively…
cs.LG2026
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure
Daksh Mittal, Tommaso Castellani, Thomson Yen +7
We envision continually learning agentic systems that become more useful over time: as they encounter sequences of related tasks, they should infer the hidden structure shared acro…