Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking
DualViewEval compresses agent benchmarks by jointly modeling outcome and process signals, achieving 24x-40x compression with only 20 tasks on APEX-Agents and BFCL.
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- Mentions · 7d0
- Mentions · 30d0
- All mentions2
- First seenSep 7, 2026
- Last mentionedSep 16, 2026
Timeline
2 articles · newest firstEnvironments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks
Researchers propose Feedback-Enriched Environments (FEEs) that reduce reward sparsity and improve RL training of Qwen3-based agents on SciWorld and BFCL.
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Appears with
- SWE-bench Verifiedproduct · 1
- Qwen3ai model · 1
- EssenceBenchproduct · 1
- DualViewEvalproduct · 1
- SciWorldproduct · 1
- Qwen3product · 1
- APEX-Agentsproduct · 1
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