arXiv CS
open access
Beyond Downstream QA: Rethinking How We Evaluate Agent Memory
Agent memory benchmarks evaluate whether an agent's responses reflect correct knowledge, measuring downstream question-answering accuracy as a proxy for memory quality. We show this evaluation paradigm is incomplete: it conflates memory correctness with retrieval and generation quality, producing bo
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond Downstream QA: Rethinking How We Evaluate Agent Memory#1357864
- When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents#972506
- Evaluating Memory Structure in LLM Agents#998107
- Predicting Partial Answer Quality and Utility in Agentic Retrieval-Augmented Generation#1110809
- A hierarchical memory architecture overcomes context limits in long-horizon multi-agent computational modeling#1034754
Record · ID 1348856
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive