Seq@K: evaluating language models under sequential feedback
Read the original at arxiv.org→arXiv:2610.37859v1 Announce Type: new Abstract: Language-model agents differ fundamentally from prior intelligent systems in their ability to learn from natural language in context. This capability enables agents to...
Original headline: "Seq@K: Evaluating Language Models Under Sequential Feedback"
Coverage timeline
- Oct 30, 04:00 UTC arXiv cs.AI lead source Seq@K: Evaluating Language Models Under Sequential Feedback