{"total":60,"rows":[{"id":"2305.10403","title":"PaLM 2 Technical Report","created":"2023-05-17","cited_by_count":1162,"area":"lr"},{"id":"2411.15124","title":"Tulu 3: Pushing Frontiers in Open Language Model Post-Training","created":"2024-11-22","cited_by_count":1053,"area":"lr"},{"id":"2308.09583","title":"WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct","created":"2023-08-18","cited_by_count":625,"area":"lr"},{"id":"2312.01552","title":"The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning","created":"2023-12-04","cited_by_count":257,"area":"lr"},{"id":"2310.05492","title":"How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition","created":"2023-10-09","cited_by_count":223,"area":"lr"},{"id":"2310.03731","title":"MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning","created":"2023-10-05","cited_by_count":156,"area":"lr"},{"id":"2502.12143","title":"Small Models Struggle to Learn from Strong Reasoners","created":"2025-02-17","cited_by_count":113,"area":"lr"},{"id":"2305.14045","title":"The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning","created":"2023-05-23","cited_by_count":108,"area":"lr"},{"id":"2507.00432","title":"Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning","created":"2025-07-01","cited_by_count":106,"area":"lr"},{"id":"2305.13168","title":"LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities","created":"2023-05-22","cited_by_count":97,"area":"lr"},{"id":"2407.13690","title":"DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving","created":"2024-06-18","cited_by_count":95,"area":"lr"},{"id":"2501.05707","title":"Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains","created":"2025-01-10","cited_by_count":95,"area":"lr"},{"id":"2305.14318","title":"CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models","created":"2023-05-23","cited_by_count":93,"area":"lr"},{"id":"2311.18799","title":"X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning","created":"2023-11-30","cited_by_count":80,"area":"lr"},{"id":"2404.14662","title":"NExT: Teaching Large Language Models to Reason about Code Execution","created":"2024-04-23","cited_by_count":63,"area":"lr"},{"id":"2310.20246","title":"Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations","created":"2023-10-31","cited_by_count":59,"area":"lr"},{"id":"2310.05707","title":"Guiding Language Model Reasoning with Planning Tokens","created":"2023-10-09","cited_by_count":58,"area":"lr"},{"id":"2503.03686","title":"MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems","created":"2025-03-05","cited_by_count":50,"area":"lr"},{"id":"2512.13607","title":"Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models","created":"2025-12-15","cited_by_count":48,"area":"lr"},{"id":"2504.09710","title":"DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training","created":"2025-04-13","cited_by_count":46,"area":"lr"},{"id":"2410.09918","title":"Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces","created":"2024-10-13","cited_by_count":43,"area":"lr"},{"id":"2505.20161","title":"Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning","created":"2025-05-26","cited_by_count":40,"area":"lr"},{"id":"2305.12147","title":"LogiCoT: Logical Chain-of-Thought Instruction-Tuning","created":"2023-05-20","cited_by_count":31,"area":"lr"},{"id":"2404.10346","title":"Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards","created":"2024-04-16","cited_by_count":31,"area":"lr"},{"id":"2405.20535","title":"Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning","created":"2024-05-30","cited_by_count":31,"area":"lr"},{"id":"2410.23743","title":"What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective","created":"2024-10-31","cited_by_count":29,"area":"lr"},{"id":"2311.01487","title":"What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning","created":"2023-11-02","cited_by_count":28,"area":"lr"},{"id":"2401.11467","title":"Over-Reasoning and Redundant Calculation of Large Language Models","created":"2024-01-21","cited_by_count":27,"area":"lr"},{"id":"2304.11107","title":"ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT","created":"2023-04-21","cited_by_count":26,"area":"lr"},{"id":"2405.07551","title":"MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning","created":"2024-05-13","cited_by_count":22,"area":"lr"},{"id":"2410.09335","title":"Rethinking Data Selection at Scale: Random Selection is Almost All You Need","created":"2024-10-12","cited_by_count":22,"area":"lr"},{"id":"2312.10730","title":"Mixed Distillation Helps Smaller Language Model Better Reasoning","created":"2023-12-17","cited_by_count":19,"area":"lr"},{"id":"2407.04078","title":"DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning","created":"2024-07-04","cited_by_count":19,"area":"lr"},{"id":"2403.19322","title":"Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models","created":"2024-03-28","cited_by_count":18,"area":"lr"},{"id":"2404.03134","title":"Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?","created":"2024-04-04","cited_by_count":17,"area":"lr"},{"id":"2404.03820","title":"CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues","created":"2024-04-04","cited_by_count":15,"area":"lr"},{"id":"2509.13351","title":"Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning","created":"2025-09-14","cited_by_count":15,"area":"lr"},{"id":"2405.17057","title":"ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation","created":"2024-05-27","cited_by_count":14,"area":"lr"},{"id":"2509.03059","title":"Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers","created":"2025-09-03","cited_by_count":14,"area":"lr"},{"id":"2402.16602","title":"Rethinking Negative Instances for Generative Named Entity Recognition","created":"2024-02-26","cited_by_count":13,"area":"lr"},{"id":"2404.03414","title":"Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought","created":"2024-04-04","cited_by_count":12,"area":"lr"},{"id":"2407.03181","title":"Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs","created":"2024-07-03","cited_by_count":12,"area":"lr"},{"id":"2406.04215","title":"mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans","created":"2024-06-06","cited_by_count":10,"area":"lr"},{"id":"2506.15629","title":"Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability","created":"2025-06-18","cited_by_count":10,"area":"lr"},{"id":"2305.13718","title":"Exploring Self-supervised Logic-enhanced Training for Large Language Models","created":"2023-05-23","cited_by_count":8,"area":"lr"},{"id":"2410.06733","title":"Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles","created":"2024-10-09","cited_by_count":8,"area":"lr"},{"id":"2305.02897","title":"An automatically discovered chain-of-thought prompt generalizes to novel models and datasets","created":"2023-05-04","cited_by_count":5,"area":"lr"},{"id":"2411.16116","title":"LLM Augmentations to support Analytical Reasoning over Multiple Documents","created":"2024-11-25","cited_by_count":3,"area":"lr"},{"id":"2508.01977","title":"TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models","created":"2025-08-04","cited_by_count":3,"area":"lr"},{"id":"2510.07962","title":"LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?","created":"2025-10-09","cited_by_count":3,"area":"lr"},{"id":"2605.05227","title":"Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods","created":"2026-04-19","cited_by_count":3,"area":"lr"},{"id":"2311.06736","title":"Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning","created":"2023-11-12","cited_by_count":2,"area":"lr"},{"id":"2608.03573","title":"SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs","created":"2026-08-04","cited_by_count":2,"area":"lr"},{"id":"2502.12855","title":"Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models","created":"2025-02-18","cited_by_count":1,"area":"lr"},{"id":"2606.24251","title":"Probing the Misaligned Thinking Process of Language Models","created":"2026-06-23","cited_by_count":1,"area":"lr"},{"id":"2507.01800","title":"HCNQA: Enhancing 3D VQA with Hierarchical Concentration Narrowing Supervision","created":"2025-07-02","cited_by_count":0,"area":"lr"},{"id":"2602.04856","title":"CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation","created":"2026-02-04","cited_by_count":0,"area":"lr"},{"id":"2604.17504","title":"RS-HyRe-R1: A Hybrid Reward Mechanism to Overcome Perceptual Inertia for Remote Sensing Images Understanding","created":"2026-04-19","cited_by_count":0,"area":"lr"},{"id":"2606.03624","title":"Bridging Auxiliary Constraints to Resolve Instruction Following in Large Reasoning Models","created":"2026-06-02","cited_by_count":0,"area":"lr"},{"id":"2608.30528","title":"PAC: Progress-Augmented Advantage Curriculum for Multi-Task Reinforcement Learning of LLMs","created":"2026-08-31","cited_by_count":0,"area":"lr"}],"next_cursor":null}