{"total":40,"rows":[{"id":"2411.16594","title":"From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge","created":"2024-11-25","cited_by_count":494,"area":null},{"id":"2404.14367","title":"Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data","created":"2024-04-22","cited_by_count":185,"area":null},{"id":"2406.16838","title":"From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models","created":"2024-06-24","cited_by_count":137,"area":null},{"id":"2410.20290","title":"Fast Best-of-N Decoding via Speculative Rejection","created":"2024-10-26","cited_by_count":112,"area":null},{"id":"2404.14619","title":"OpenELM: An Efficient Language Model Family with Open Training and Inference Framework","created":"2024-04-22","cited_by_count":75,"area":null},{"id":"2401.06081","title":"Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint","created":"2024-01-11","cited_by_count":39,"area":null},{"id":"2508.19229","title":"StepWiser: Stepwise Generative Judges for Wiser Reasoning","created":"2025-08-26","cited_by_count":28,"area":null},{"id":"2506.21495","title":"Bridging Offline and Online Reinforcement Learning for LLMs","created":"2025-06-26","cited_by_count":25,"area":null},{"id":"2410.01359","title":"FlashMask: Efficient and Rich Mask Extension of FlashAttention","created":"2024-10-02","cited_by_count":20,"area":null},{"id":"2410.03837","title":"Learning Code Preference via Synthetic Evolution","created":"2024-10-04","cited_by_count":19,"area":null},{"id":"2504.19478","title":"CasaGPT: Cuboid Arrangement and Scene Assembly for Interior Design","created":"2025-04-28","cited_by_count":14,"area":null},{"id":"2505.16475","title":"ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection","created":"2025-05-22","cited_by_count":12,"area":null},{"id":"2407.12022","title":"ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation","created":"2024-06-28","cited_by_count":9,"area":null},{"id":"2510.03199","title":"Best-of-Majority: Minimax-Optimal Strategy for Pass@$k$ Inference Scaling","created":"2025-10-03","cited_by_count":9,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2411.08243","title":"Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset","created":"2024-11-12","cited_by_count":8,"area":null},{"id":"2503.17195","title":"TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning","created":"2025-03-21","cited_by_count":7,"area":null},{"id":"2411.05199","title":"CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement","created":"2024-11-07","cited_by_count":6,"area":null},{"id":"2503.07981","title":"Regulatory DNA sequence Design with Reinforcement Learning","created":"2025-03-11","cited_by_count":6,"area":null},{"id":"2506.00297","title":"Improving Protein Sequence Design through Designability Preference Optimization","created":"2025-05-30","cited_by_count":6,"area":null},{"id":"2311.09136","title":"Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation","created":"2023-11-15","cited_by_count":4,"area":null},{"id":"2402.12617","title":"Generative AI Security: Challenges and Countermeasures","created":"2024-02-20","cited_by_count":4,"area":null},{"id":"2510.19296","title":"QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation","created":"2025-10-22","cited_by_count":4,"area":null},{"id":"2604.18547","title":"FUSE: Ensembling Verifiers with Zero Labeled Data","created":"2026-04-20","cited_by_count":4,"area":null},{"id":"2407.04451","title":"Hindsight Preference Learning for Offline Preference-based Reinforcement Learning","created":"2024-07-05","cited_by_count":3,"area":null},{"id":"2409.18170","title":"Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2410.15466","title":"Keep Guessing? When Considering Inference Scaling, Mind the Baselines","created":"2024-10-20","cited_by_count":3,"area":null},{"id":"2509.24090","title":"Large-Scale Constraint Generation -- Can LLMs Parse Hundreds of Constraints?","created":"2025-09-28","cited_by_count":3,"area":null},{"id":"2603.18806","title":"dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models","created":"2026-03-19","cited_by_count":3,"area":null},{"id":"2510.27206","title":"Fints: Efficient Inference-Time Personalization for LLMs with Fine-Grained Instance-Tailored Steering","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2511.07148","title":"TCM-Eval: An Expert-Level Dynamic and Extensible Benchmark for Traditional Chinese Medicine","created":"2025-11-10","cited_by_count":2,"area":null},{"id":"2604.16995","title":"SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models","created":"2026-04-18","cited_by_count":2,"area":null},{"id":"2603.01973","title":"CharacterFlywheel: Scaling Iterative Improvement of Engaging and Steerable LLMs in Production","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2401.00330","title":"Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions","created":"2023-12-30","cited_by_count":0,"area":null},{"id":"2407.14000","title":"Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization","created":"2024-07-19","cited_by_count":0,"area":null},{"id":"2508.18462","title":"VERIRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning","created":"2025-08-25","cited_by_count":0,"area":null},{"id":"2510.03527","title":"Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2601.22345","title":"Failing to Explore: Language Models on Interactive Tasks","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2605.02200","title":"ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2606.05924","title":"Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach","created":"2026-06-04","cited_by_count":0,"area":null}],"next_cursor":null}