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Evaluation of Multi-Turn Consistency in LLM Agents: Survival Analysis and Failure-Rationale Taxonomy
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose a survival analysis framework to measure how LLM agents drift and fail across extended 20-step multi-turn interactions.
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- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 25 September 2026
- Collected by OneBench
- 26 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2609.29508v1 Announce Type: cross Abstract: Large language model (LLM) agents may perform well on isolated tasks yet drift into inconsistency over extended interaction. We evaluate…
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