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AI Agent Papers·2026
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FDE-Gym: The Last Mile of AI Delivery

Dongxu Yang, Hongda Yan +24·DeepLethe, Tsinghua University +18

Benchmark for evaluating agents' ability to deliver working AI systems in realistic customer environments: 95 end-to-end delivery tasks with scripted stakeholders and production-like systems, scored by improvement to the customer's business metric and penalized for stakeholder contact.

#benchmark#benchmarks#datasets#agent-skills#ai-agent+5
Computer Vision Papers·2026
Icon for item

SCOPE: Semantic Bounded Credit Optimization for Prompt Engineering in Text-to-image Generation

Yufei Jiao, Jinfa Huang +6

Rewrites text-to-image prompts with reinforcement learning that aligns policy updates to semantic spans and pools log-probability shifts within each span to weight token losses. Improves prompt engineering for frozen generators without extra renders (≈9.5% on GenEval, 7.6% on T2I-CompBench).

#prompt-engineering#rl#vision#image#benchmark+1
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