KAIST's WikiTrace Links Agent Memories to Evidence, Cutting Memory-Induced Degradation
kaist-ai · hf · 2026-11-11
KAIST researchers published 'Don't Just Trust Your Memory', tackling memory-induced degradation in LLM agents.
- Problem: External memory meant to distill lessons from past trajectories often makes agents fail tasks they could solve without memory—by following wrong lessons or misapplying valid ones, since lessons are labeled only by task success/failure.
- Method: WikiTrace links each distilled lesson to its source trajectory and rationale, letting agents verify and correct memories before acting.
- Results: Improves performance and reduces memory-induced degradation across agentic benchmarks.
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