…autonomous agents capable of solving complex tasks through planning , reasoning , tool use , and multi-turn interaction with environments. Despite major investment, open research remains constrained by infrastructure and training gaps. Many high…
Papers arxiv:2605.06638 Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Published on May 7 Submitted by Tianle Wang on May 8 Authors: Tianle Wang , , Guangchen Lan , , , , Abstract…
…Reinforcement Learning for Retrieval Index Reasoning (2026) Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback (2026) Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging…
…Jiaming Wang , , , , Qianqian Xie , , , , , , Abstract Deep-research agents can be audited using a claim-centric framework that identifies error spans in their reasoning trajectories, improving reliability assessment beyond just final answer evaluation…
…on May 29 Submitted by N on Jun 11 Meta Research Authors: Gaetan Narozniak , , , , Abstract Feedback Distillation improves post-training of reasoning models by using self-distillation with token-level supervision and…
…Asymmetric Group Policy Optimization for Verifiable Reasoning and Search Ads Relevance at JD (2026) User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation (2026) Aligning Multimodal Sequential Recommendations…
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…Secure Code Generation with Reasoning Models via Security Reasoning Internalization (2026) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on…
…LLMs in modeling complex, real-world legal reasoning and technical novelty judgment in patent examination . We release our code and dataset to facilitate future research on patent examination modeling. View arXiv page…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement Learning with Verifiable Rewards algorithms like GRPO have emerged as the dominant post-training paradigm for complex reasoning in LLMs, yet commonly suffer…