agent/papers/items/2026-2607-02689-s-ember-a-large-scale-benchmark-for-streaming-egocentric-memory-retrieval.md

Paper: S-EMBER: A Large-Scale Benchmark for Streaming Egocentric Memory Retrieval

---

type: paper title: "S-EMBER: A Large-Scale Benchmark for Streaming Egocentric Memory Retrieval" authors: Xiaodong Wang, Xuanyi Zhao, Pedro Rodriguez, Devendra Singh Sachan, Barlas Oguz, Seungwhan Moon, Shang-Wen Li, Gargi Ghosh, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.02689 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-02 updated_at: 2026-07-02 status: queued relevance: high topics:

• agent-evaluation
• memory
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CV
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: ai-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: ai-agent
• inferred topics: agent-evaluation, memory, rag, reasoning, tool-use
• arXiv categories: cs.CV, cs.AI
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.02689