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100 papers published across 8 labs.
Frontier LLMs struggle to replicate expert consensus in complex, longitudinal cancer treatment discussions, scoring below expert equivalence on a new real-world benchmark.
ZooWork-ShopRanker, a family of e-commerce rerankers aligned to judge-labeled shopping preference, and ShopRank-Bench, a contamination-limited benchmark of ~10,000 private-traffic preference pairs in both text formats, tiered by how many judge families committed to each label.
AI systems can auto-evolve by learning from their own failures, achieving 20.5% better performance with 65.5% fewer rollouts than existing methods.
City-scale UAV navigation with satellite imagery reveals current VLN agents forget 40% of context after 379m, necessitating new memory architectures.
Frontier LLMs struggle to replicate expert consensus in complex, longitudinal cancer treatment discussions, scoring below expert equivalence on a new real-world benchmark.
ZooWork-ShopRanker, a family of e-commerce rerankers aligned to judge-labeled shopping preference, and ShopRank-Bench, a contamination-limited benchmark of ~10,000 private-traffic preference pairs in both text formats, tiered by how many judge families committed to each label.
AI systems can auto-evolve by learning from their own failures, achieving 20.5% better performance with 65.5% fewer rollouts than existing methods.
City-scale UAV navigation with satellite imagery reveals current VLN agents forget 40% of context after 379m, necessitating new memory architectures.
This work proposes SLCA-GRPO, a framework incorporating Segment-Locked Credit Assignment (SLCA), a framework incorporating Segment-Locked Credit Assignment (SLCA) that decouples advantage estimation at the structural segment level within a single group of rollouts, without requiring additional rollouts from intermediate states.