… It contains 2,061 examples across three levels: active visual evidence seeking , controlled offline interleaved multimodal search, and open-web interleaved multimodal search. …
… We revisit it by pairing BM25 with frontier LLMs that have better reasoning and tool-use abilities. To support researchers asking the same question, we introduce Pi-Serini , a search agent equipped with three tools for retrieving, browsing, and reading documents. …
… If you want recommendations for any Paper on Hugging Face checkout this Space You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: @ librarian-bot recommend the offline replay environment with a width-depth test-time scaling controller is the standout move here, … …
… More search, compute, or context alone does not remove this bottleneck. We build and maintain a community platform for cumulative and comparable iteration, and release the data and code at this https URL . …
… No offline indexing. 📊The Results: DCI outperforms top baselines across 13 benchmarks, with average gains of: 🔍 Agentic Search BrowseComp-Plus : +11.0% 🧠 Multi-hop QA: +30.7% 📈 IR Ranking: +21.5% 💡 Insights: Beyond accuracy, we conduct a series of controlled ablation studies to pinpoint the sources… …
… AI-generated summary Code search has usually been evaluated as first-stage retrieval , even though production systems rely on broader pipelines with reranking and developer-style queries. …
… The following papers were recommended by the Semantic Scholar API UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models 2026 AerialVLA: A Vision-Language-Action Model for UAV Navigation via Minimalist End-to-End Control 2026 Vision-Language Navigation for Aerial Robots: Towards … …
… Motivated by the "search, select, update" principle underlying GDS, we propose Dynamic Latent Routing DLR , a language-model post-training method that jointly learns discrete latent codes , routing policies , and model parameters through dynamic search in a single training stage. …
… We release a benchmark of 2,450 synthetic citations built from real seeds with controlled LLM mutations, paired with 957 real-world fabricated citations drawn from ICLR 2026 and an anonymous conference desk-rejected submissions. …
Papers arxiv:2605.02178 T^2PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning Published on May 4 Submitted by UCLA WHX on May 5 Authors: , , , , , Shijie Geng , , , , Abstract Token- and Turn-level Policy Optimization T²PO addresses multi-turn RL instabi… …