Beyond Downstream QA: Rethinking How We Evaluate Agent Memory

arXiv:2610.22209 · cs.CL, cs.AI, cs.LG · Submitted 2026-10-15 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-10-15

Updated: 2026-10-15

Comments: 14 pages, 1 figure, code and data: https://github.com/amazon-science/feb-30-benchmark

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Agent Memory — 1× in this paper · explained in 1 episode

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering