Recent Papers / arXiv:2605.18565

MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems

arXiv:2605.18565Submitted May 20, 20260 benchmark results

Authors pending

Abstract

15.6k QA pairs over long contexts averaging 138.8k tokens for multi-target memory

Tasks
edit
Results

No benchmark results recorded yet.

submit

Benchmark results referencing this paper haven't been added to the registry yet. If you have a reproduction, submit it →

CodeSOTA extraction

Benchmark evidence

edit
  • Verify that MINTEval average accuracy across all systems is 27.9%.
Add or update benchmark results
Logged-in editor · benchmark trail
Read next

Three places to go from here.

Index
All papers
All tracked papers in the registry, with benchmark result, model, and leaderboard linkage where available.
Replacement
Papers with Code is dead — alternatives
What replaced PWC for each use case: LLMs, OCR, speech, vision, robotics.
Top hub
Agentic AI
Every benchmark in Agentic AI.