…RTriever-Synth, an aspect-decomposed synthetic corpus, to improve retriever performance through agentic search evaluation and LoRA fine-tuning. AI-generated summary Reasoning-intensive retrieval aims to surface evidence that supports downstream…
…AI-generated summary Recent progress on long-horizon agentic tasks has been driven largely by scaling up individual agents through stronger models, better tools, and more effective scaffolding. In contrast, much less…
…AI-generated summary The continued improvements in language model capability have unlocked their widespread use as drivers of autonomous agents, for example in coding or computer use applications. However, the core of…
…Our 24 matches pair 23 expert humans with 16 AI agents , capturing 387 delegation and 1440 adoption decisions. While human--AI collaboration performs better than either AI or humans alone, humans make…
…checkout this Space You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: @ librarian-bot recommend Get this paper in your agent: hf papers read 2604.25806…
…Qiliang Liang , , , Abstract Structured representation of agent skills disentangles scheduling, execution, and logic components, improving performance in skill discovery and risk assessment tasks. AI-generated summary LLM agents increasingly rely on reusable…
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…AI-generated summary LLM-based autonomous agents have demonstrated strong capabilities in reasoning, planning, and tool use, yet remain limited when tasks require sustained coordination across roles, tools, and environments. Multi-agent…
…AI-generated summary Existing multimodal search agents process target entities sequentially, issuing one tool call per entity and accumulating redundant interaction rounds whenever a query decomposes into independent sub- retrieval s. We…
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