arxiv
PublishedJune 3, 2026 at 4:00 AM
MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation
Publisher summary· verbatim
arXiv:2604.08782v3 Announce Type: replace Abstract: Large language models (LLMs) suffer significant performance degradation when user instructions and context are distributed over multiple conversational turns, yet multi-turn (MT) interactions dominate chat interfaces. The routine approach of append
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution13harxivToward a Modular Architecture for Embedded AI Agent Systems at the Edge13harxivA Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation13harxivAnomalies in Multivariate Time Series Benchmarks Are Mostly Univariate13hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗