{"total":166,"rows":[{"id":"2606.03748","title":"Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models","created":"2026-06-02","cited_by_count":57,"area":null},{"id":"2511.07317","title":"RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments","created":"2025-11-10","cited_by_count":50,"area":null},{"id":"2510.17638","title":"LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena","created":"2025-10-20","cited_by_count":40,"area":null},{"id":"2512.15716","title":"Spatia: Video Generation with Updatable Spatial Memory","created":"2025-12-17","cited_by_count":40,"area":null},{"id":"2510.16981","title":"MuonBP: Faster Muon via Block-Periodic Orthogonalization","created":"2025-10-19","cited_by_count":35,"area":null},{"id":"2602.06820","title":"ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training","created":"2026-02-06","cited_by_count":32,"area":null},{"id":"2602.13035","title":"Look Inward to Explore Outward: Learning Temperature Policy from LLM Internal States via Hierarchical RL","created":"2026-02-13","cited_by_count":27,"area":null},{"id":"2601.02872","title":"LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark","created":"2026-01-06","cited_by_count":19,"area":null},{"id":"2509.18101","title":"A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services","created":"2025-08-30","cited_by_count":17,"area":null},{"id":"2603.09697","title":"Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning","created":"2026-03-10","cited_by_count":17,"area":null},{"id":"2605.08678","title":"MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI","created":"2026-05-09","cited_by_count":17,"area":null},{"id":"2512.16928","title":"Dion2: A Simple Method to Shrink Matrix in Muon","created":"2025-12-01","cited_by_count":13,"area":null},{"id":"2601.23000","title":"Mano: Restriking Manifold Optimization for LLM Training","created":"2026-01-30","cited_by_count":12,"area":null},{"id":"2603.28458","title":"HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention","created":"2026-03-30","cited_by_count":12,"area":null},{"id":"2509.23106","title":"Effective Quantization of Muon Optimizer States","created":"2025-09-27","cited_by_count":11,"area":null},{"id":"2512.03042","title":"PPTArena: A Benchmark for PowerPoint Editing","created":"2025-12-02","cited_by_count":11,"area":null},{"id":"2510.21800","title":"MARS-M: When Variance Reduction Meets Matrices","created":"2025-10-20","cited_by_count":10,"area":null},{"id":"2603.02236","title":"CUDABench: Benchmarking LLMs for Text-to-CUDA Generation","created":"2026-02-13","cited_by_count":10,"area":null},{"id":"2605.13137","title":"LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving","created":"2026-05-13","cited_by_count":10,"area":null},{"id":"2510.16844","title":"FinSight: Towards Real-World Financial Deep Research","created":"2025-10-19","cited_by_count":9,"area":null},{"id":"2602.04669","title":"Delving into Muon and Beyond: Deep Analysis and Extensions","created":"2026-02-04","cited_by_count":9,"area":null},{"id":"2605.08980","title":"Muon Does Not Converge on Convex Lipschitz Functions","created":"2026-05-09","cited_by_count":9,"area":null},{"id":"2511.11466","title":"Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates","created":"2025-11-14","cited_by_count":8,"area":null},{"id":"2511.14045","title":"Auditing Data Membership in Reinforcement Learning With Verifiable Rewards","created":"2025-11-18","cited_by_count":8,"area":null},{"id":"2603.09652","title":"MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants","created":"2026-03-10","cited_by_count":8,"area":null},{"id":"2605.16679","title":"CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?","created":"2026-05-15","cited_by_count":8,"area":null},{"id":"2605.29559","title":"LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents","created":"2026-05-28","cited_by_count":8,"area":null},{"id":"2606.26859","title":"AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems","created":"2026-06-25","cited_by_count":8,"area":null},{"id":"2510.06824","title":"Efficient numeracy in language models through single-token number embeddings","created":"2025-10-08","cited_by_count":7,"area":null},{"id":"2512.07831","title":"UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation","created":"2025-12-08","cited_by_count":7,"area":null},{"id":"2601.07972","title":"Knowing But Not Doing: Convergent Morality and Divergent Action in LLMs","created":"2026-01-12","cited_by_count":7,"area":null},{"id":"2510.01152","title":"MASH: Modeling Abstention via Selective Help-Seeking","created":"2025-10-01","cited_by_count":6,"area":null},{"id":"2511.23225","title":"TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies","created":"2025-11-28","cited_by_count":6,"area":null},{"id":"2601.23261","title":"TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training","created":"2026-01-30","cited_by_count":6,"area":null},{"id":"2602.13498","title":"TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers","created":"2026-02-13","cited_by_count":6,"area":null},{"id":"2604.07296","title":"OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence","created":"2026-04-08","cited_by_count":6,"area":null},{"id":"2604.07941","title":"Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning","created":"2026-04-09","cited_by_count":6,"area":null},{"id":"2604.18556","title":"GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling","created":"2026-04-20","cited_by_count":6,"area":null},{"id":"2605.02572","title":"On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length","created":"2026-05-04","cited_by_count":6,"area":null},{"id":"2605.12492","title":"Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation","created":"2026-05-12","cited_by_count":6,"area":null},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2509.14008","title":"Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale","created":"2025-09-17","cited_by_count":5,"area":null},{"id":"2601.00624","title":"Do Chatbot LLMs Talk Too Much? The YapBench Benchmark","created":"2026-01-02","cited_by_count":5,"area":null},{"id":"2603.04737","title":"Interactive Benchmarks","created":"2026-03-05","cited_by_count":5,"area":null},{"id":"2603.16140","title":"Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards","created":"2026-03-17","cited_by_count":5,"area":null},{"id":"2605.22148","title":"Ratchet: How Reliable Must an LLM Judge Be to Retire a Skill?","created":"2026-05-21","cited_by_count":5,"area":null},{"id":"2608.26288","title":"Muon with Finite Newton-Schulz: The Smoothing Benefit in Nonsmooth Nonconvex Optimization","created":"2026-08-26","cited_by_count":5,"area":null},{"id":"2510.09724","title":"InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2510.11313","title":"Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs","created":"2025-10-13","cited_by_count":4,"area":null},{"id":"2510.14113","title":"Toward Cybersecurity-Expert Small Language Models","created":"2025-10-15","cited_by_count":4,"area":null},{"id":"2601.22859","title":"MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering","created":"2026-01-30","cited_by_count":4,"area":null},{"id":"2602.06880","title":"Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization","created":"2026-02-06","cited_by_count":4,"area":null},{"id":"2603.01714","title":"TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training","created":"2026-03-02","cited_by_count":4,"area":null},{"id":"2603.01940","title":"CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification","created":"2026-03-02","cited_by_count":4,"area":null},{"id":"2604.06138","title":"Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization","created":"2026-04-07","cited_by_count":4,"area":null},{"id":"2605.15417","title":"$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data","created":"2026-05-14","cited_by_count":4,"area":null},{"id":"2605.22175","title":"SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?","created":"2026-05-21","cited_by_count":4,"area":null},{"id":"2605.22432","title":"AMUSE: Anytime Muon with Stable Gradient Evaluation","created":"2026-05-21","cited_by_count":4,"area":null},{"id":"2605.31371","title":"Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling","created":"2026-05-29","cited_by_count":4,"area":null},{"id":"2606.14957","title":"Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging","created":"2026-06-12","cited_by_count":4,"area":null},{"id":"2607.05863","title":"Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations","created":"2026-07-07","cited_by_count":4,"area":null},{"id":"2607.07916","title":"Persona Cartography: Charting Language Model Personality Traits in Weight Space","created":"2026-07-08","cited_by_count":4,"area":null},{"id":"2511.21377","title":"Controlling changes to attention logits","created":"2025-11-26","cited_by_count":3,"area":null},{"id":"2512.22334","title":"SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence","created":"2025-12-26","cited_by_count":3,"area":null},{"id":"2601.19578","title":"Yunque DeepResearch Technical Report","created":"2026-01-27","cited_by_count":3,"area":null},{"id":"2602.14135","title":"ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI","created":"2026-02-15","cited_by_count":3,"area":null},{"id":"2602.16729","title":"Intent Laundering: AI Safety Datasets Are Not What They Seem","created":"2026-02-17","cited_by_count":3,"area":null},{"id":"2604.03253","title":"Self-Execution Simulation Improves Coding Models","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2604.10689","title":"Communication-Efficient Gluon in Federated Learning","created":"2026-04-12","cited_by_count":3,"area":null},{"id":"2605.08666","title":"The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits","created":"2026-05-09","cited_by_count":3,"area":null},{"id":"2606.09658","title":"Muon Learns More Robust and Transferable Features than Adam","created":"2026-06-08","cited_by_count":3,"area":null},{"id":"2606.27153","title":"DMuon: Efficient Distributed Muon Training with Near-Adam Overhead","created":"2026-06-25","cited_by_count":3,"area":null},{"id":"2509.20677","title":"Stability of In-Context Learning: A Spectral Coverage Perspective","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2510.04930","title":"Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking","created":"2025-10-06","cited_by_count":2,"area":null},{"id":"2511.10691","title":"Evaluating from Benign to Dynamic Adversarial: A Squid Game for Large Language Models","created":"2025-11-12","cited_by_count":2,"area":null},{"id":"2602.02680","title":"FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment","created":"2026-02-02","cited_by_count":2,"area":null},{"id":"2602.03515","title":"Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2602.11918","title":"MEME: Modeling the Evolutionary Modes of Financial Markets","created":"2026-02-12","cited_by_count":2,"area":null},{"id":"2604.05688","title":"Attention Editing: A Versatile Framework for Cross-Architecture Attention Conversion","created":"2026-04-07","cited_by_count":2,"area":null},{"id":"2605.08310","title":"WebTrap: Stealthy Mid-Task Hijacking of Browser Agents During Navigation","created":"2026-05-08","cited_by_count":2,"area":null},{"id":"2605.18018","title":"See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding","created":"2026-05-18","cited_by_count":2,"area":null},{"id":"2605.21516","title":"Harnesses for Inference-Time Alignment over Execution Trajectories","created":"2026-05-15","cited_by_count":2,"area":null},{"id":"2605.28751","title":"Extrapolative Weight Averaging Reveals Correctness-Efficiency Frontiers in Code RL","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2605.30859","title":"DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2606.14560","title":"Free Heavy-Tailed Lunch for Muon: A Theoretical Justification of Empirical Success","created":"2026-06-12","cited_by_count":2,"area":null},{"id":"2607.14018","title":"Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth","created":"2026-07-15","cited_by_count":2,"area":null},{"id":"2511.06477","title":"DyKAF: Dynamical Kronecker Approximation of the Fisher Information Matrix for Gradient Preconditioning","created":"2025-11-09","cited_by_count":1,"area":null},{"id":"2512.14531","title":"VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2601.22095","title":"GeoNorm: Unify Pre-Norm and Post-Norm with Geodesic Optimization","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2602.01763","title":"A Provable Expressiveness Hierarchy in Hybrid Linear-Full Attention","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2602.11570","title":"PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2602.21608","title":"MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2602.23546","title":"Humans and LLMs Diverge on Probabilistic Inferences","created":"2026-02-26","cited_by_count":1,"area":null},{"id":"2603.05369","title":"Progressive Residual Warmup for Language Model Pretraining","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2603.11935","title":"MobileKernelBench: Can LLMs Write Efficient Kernels for Mobile Devices?","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2603.16843","title":"Internalizing Agency from Reflective Experience","created":"2026-03-17","cited_by_count":1,"area":null},{"id":"2604.02729","title":"IndustryCode: A Benchmark for Industry Code Generation","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2604.09619","title":"Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum","created":"2026-03-17","cited_by_count":1,"area":null},{"id":"2605.11978","title":"On Predicting the Post-training Potential of Pre-trained LLMs","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2606.04517","title":"Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis","created":"2026-06-03","cited_by_count":1,"area":null}],"next_cursor":"100"}