Mouseion · Collection II · Read at source

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Di Wu; Hongwei Wang; Wenhao Yu; Yuwei Zhang; Kai-Wei Chang; Dong Yu

Separates information extraction, cross-session reasoning, time, updates and abstention as distinct memory capabilities.

A question to carry into the reading

Can a system update an earlier belief and abstain when the stored evidence is insufficient?

The official abstract and linked paper's task definitions; compare its questions with Lost in the Middle.

Further reading: MA-OPEN-029 · MA-OPEN-032

These are curatorial comparisons, not evidence supporting a scientific claim.

Reading and source

Benchmark results do not demonstrate consciousness, institutional wisdom or improvements in Mouseion. Dataset contamination and model/version differences matter; no evaluation or dataset ingestion commissioned.

Read at the original source

Edition, source and reuse

Edition: ICLR 2025 conference proceedings

Rights: Official proceedings reading link. No redistribution clearance inferred from free access, a code-repository licence or a third-party licence label; no paper/dataset copy in bundle.

Rights/source reference 1

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory — Di Wu; Hongwei Wang; Wenhao Yu; Yuwei Zhang; Kai-Wei Chang; Dong Yu. ICLR 2025 conference proceedings. Source: https://proceedings.iclr.cc/paper_files/paper/2025/hash/d813d324dbf0598bbdc9c8e79740ed01-Abstract-Conference.html. Bibliographic description and reading question by HCR; underlying work remains at its source.

Review scope: Official title, authors, venue, abstract and linked paper availability inspected; paper-level reuse terms unresolved.