agent/papers/items/2026-2606-30573-swe-interact-reimagining-swe-benchmarks-as-user-driven-long-horizon-coding-sessi.md

Paper: SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

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type: paper title: "SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions" authors: Mohit Raghavendra, Anisha Gunjal, Aakash Sabharwal, Yunzhong He year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.30573 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-29 updated_at: 2026-06-29 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• computer-use
• planning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: coding-agent

One-line Takeaway

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

Why Collected

• matched queries: coding-agent
• inferred topics: agent-evaluation, coding-agent, computer-use, planning, tool-use, workflow-agent
• arXiv categories: cs.LG
• collection score: 15

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/2606.30573