Key papers

• OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment (2026)
  Ming Zhang et al.
  6.91
• Hypencoder: Hypernetworks for Information Retrieval (2025)
  Julian Killingback et al.
  4.47
• CoV: Chain-of-View Prompting for Spatial Reasoning (2026)
  Haoyu Zhao et al.
  1.94
• Learning to Discover at Test Time (2026)
  Mert Yuksekgonul et al.
  1.94
• WebArbiter: A Principle-Guided Reasoning Process Reward Model for Web Agents (2026)
  Yao Zhang et al.
  1.94
• Deep Search with Hierarchical Meta-Cognitive Monitoring Inspired by Cognitive Neuroscience (2026)
  Zhongxiang Sun et al.
  1.94
• Scaling Small Agents Through Strategy Auctions (2026)
  Lisa Alazraki et al.
  1.94
• A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces (2026)
  Mingxuan Du et al.
  1.94
• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents (2026)
  Zheng Chu et al.
  1.94
• mSFT: Addressing Dataset Mixtures Overfiting Heterogeneously in Multi-task SFT (2026)
  Woosung Koh et al.
  1.94
• Learning to Retrieve from Agent Trajectories (2026)
  Yuqi Zhou et al.
  1.94
• MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments (2026)
  Han Wang et al.
  1.94
• Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents (2026)
  Seyed Moein Abtahi et al.
  1.94
• Beyond Retrieval: A Multitask Benchmark and Model for Code Search (2026)
  Siqiao Xue et al.
  1.94
• Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction (2026)
  Zhuofeng Li et al.
  1.94
• Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon (2026)
  Víctor Gallego
  1.94
• LiveBrowseComp: Are Search Agents Searching, or Just Verifying What They Already Know? (2026)
  HuiMing Fan et al.
  1.94
• FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search (2026)
  James Xu Zhao et al.
  1.94
• MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery (2026)
  Shangheng Du et al.
  1.94
• SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG (2026)
  Amirhossein Abaskohi et al.
  1.94
• Diversed Model Discovery via Structured Table Discovery (2026)
  Zhengyuan Dong et al.
  1.89
• Self-Improving Language Models with Bidirectional Evolutionary Search (2026)
  Guowei Xu et al.
  1.89
• Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation (2026)
  Chenghao Zhang et al.
  1.89
• (1D) Ordered Tokens Enable Efficient Test-Time Search (2026)
  Zhitong Gao et al.
  1.83
• Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models (2026)
  Yu Zeng et al.
  1.72
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests (2026)
  Jingjie Ning et al.
  1.67
• Flow-based Extremal Mathematical Structure Discovery (2026)
  Gergely Bérczi et al.
  1.67
• SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering? (2025)
  Yucheng Shi et al.
  1.28
• AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence (2025)
  Yuliang Liu et al.
  1.28
• An Empirical Study on Eliciting and Improving R1-like Reasoning Models (2025)
  Zhipeng Chen et al.
  1.28
• SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories (2025)
  Muzhi Zhu et al.
  1.28
• CoSTAast: Cost-Sensitive Toolpath Agent for Multi-turn Image Editing (2025)
  Advait Gupta et al.
  1.28
• s3: You Don't Need That Much Data to Train a Search Agent via RL (2025)
  Pengcheng Jiang et al.
  1.28
• NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search (2025)
  Sunhao Dai et al.
  1.28
• Value-Guided Search for Efficient Chain-of-Thought Reasoning (2025)
  Kaiwen Wang et al.
  1.28
• Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding (2025)
  Xiaoyi Zhang et al.
  1.28
• Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO (2025)
  Muzhi Zhu et al.
  1.28
• Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills (2025)
  Yuquan Xie et al.
  1.28
• AutoMind: Adaptive Knowledgeable Agent for Automated Data Science (2025)
  Yixin Ou et al.
  1.28
• MMSearch-R1: Incentivizing LMMs to Search (2025)
  Jinming Wu et al.
  1.28
• (Almost) Free Modality Stitching of Foundation Models (2025)
  Jaisidh Singh et al.
  1.28
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  1.28
• Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward (2025)
  Yong Deng et al.
  1.28
• DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis (2025)
  Liana Patel et al.
  1.28
• VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use (2025)
  Dongfu Jiang et al.
  1.28
• GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search (2025)
  Heng Zhang et al.
  1.28
• Search Self-play: Pushing the Frontier of Agent Capability without Supervision (2025)
  Hongliang Lu et al.
  1.28
• AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery (2025)
  Yuqi Yin et al.
  1.28
• WebOperator: Action-Aware Tree Search for Autonomous Agents in Web Environment (2025)
  Mahir Labib Dihan et al.
  1.28
• Counterfactuals for Design: A Model-Agnostic Method For Design Recommendations (2023)
  Lyle Regenwetter et al.
  —
• Brainformers: Trading Simplicity for Efficiency (2023)
  Yanqi Zhou et al.
  —
• Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts (2023)
  Ganesh Jawahar et al.
  —
• PathFinder: Guided Search over Multi-Step Reasoning Paths (2023)
  Olga Golovneva et al.
  —
• Stream of Search (SoS): Learning to Search in Language (2024)
  Kanishk Gandhi et al.
  —
• Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory (2024)
  Xueyan Niu et al.
  —
• DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search (2024)
  Huajian Xin et al.
  —
• Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search (2024)
  Jonathan Light et al.
  —
• A Web-Based Solution for Federated Learning with LLM-Based Automation (2024)
  Chamith Mawela et al.
  —
• Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems (2024)
  Tian Ye et al.
  —