{"total":55,"rows":[{"id":"2503.09567","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","created":"2025-03-12","cited_by_count":384,"area":"lr"},{"id":"2506.23918","title":"Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers","created":"2025-06-30","cited_by_count":199,"area":"lr"},{"id":"2504.15585","title":"A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment","created":"2025-04-22","cited_by_count":116,"area":"lr"},{"id":"2503.11733","title":"LLM Agents for Education: Advances and Applications","created":"2025-03-14","cited_by_count":59,"area":"agents"},{"id":"2506.08446","title":"A Survey on Large Language Models for Mathematical Reasoning","created":"2025-06-10","cited_by_count":52,"area":"lr"},{"id":"2501.11223","title":"Reasoning Language Models: A Blueprint","created":"2025-01-20","cited_by_count":42,"area":"lr"},{"id":"2502.02871","title":"Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning","created":"2025-02-05","cited_by_count":33,"area":"lr"},{"id":"2510.25760","title":"Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks","created":"2025-10-29","cited_by_count":33,"area":"lr"},{"id":"2502.12520","title":"SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning","created":"2025-02-18","cited_by_count":32,"area":"mllm"},{"id":"2502.11051","title":"MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models","created":"2025-02-16","cited_by_count":30,"area":"mllm"},{"id":"2503.18132","title":"MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection","created":"2025-03-23","cited_by_count":24,"area":"lr"},{"id":"2505.11907","title":"Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?","created":"2025-05-17","cited_by_count":23,"area":"lr"},{"id":"2509.23883","title":"DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning","created":"2025-09-28","cited_by_count":20,"area":null},{"id":"2503.04636","title":"Mark Your LLM: Detecting the Misuse of Open-Source Large Language Models via Watermarking","created":"2025-03-06","cited_by_count":19,"area":"safety"},{"id":"2508.04088","title":"GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning","created":"2025-08-06","cited_by_count":14,"area":"lr"},{"id":"2505.14197","title":"Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method","created":"2025-05-20","cited_by_count":13,"area":"lr"},{"id":"2503.17726","title":"A Survey on Mathematical Reasoning and Optimization with Large Language Models","created":"2025-03-22","cited_by_count":12,"area":"lr"},{"id":"2503.01891","title":"MMSciBench: Benchmarking Language Models on Chinese Multimodal Scientific Problems","created":"2025-02-27","cited_by_count":10,"area":"lr"},{"id":"2503.16549","title":"MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems","created":"2025-03-19","cited_by_count":10,"area":"mllm"},{"id":"2505.17121","title":"NeSyGeo: A Neuro-Symbolic Framework for Multimodal Geometric Reasoning Data Generation","created":"2025-05-21","cited_by_count":10,"area":"lr"},{"id":"2602.19549","title":"Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework","created":"2026-02-23","cited_by_count":10,"area":null},{"id":"2505.15472","title":"PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions","created":"2025-05-21","cited_by_count":9,"area":"lr"},{"id":"2508.01670","title":"QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry","created":"2025-08-03","cited_by_count":8,"area":null},{"id":"2602.19961","title":"Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval","created":"2026-02-23","cited_by_count":8,"area":null},{"id":"2502.11916","title":"EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models","created":"2025-02-17","cited_by_count":7,"area":"mllm"},{"id":"2505.13965","title":"CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring","created":"2025-05-20","cited_by_count":7,"area":"agents"},{"id":"2508.06226","title":"GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines","created":"2025-08-08","cited_by_count":6,"area":"mllm"},{"id":"2509.22460","title":"GeoSketch: A Neural-Symbolic Approach to Geometric Multimodal Reasoning with Auxiliary Line Construction and Affine Transformation","created":"2025-09-26","cited_by_count":6,"area":"lr"},{"id":"2606.27154","title":"OpenRCA 2.0: From Outcome Labels to Causal Process Supervision","created":"2026-06-25","cited_by_count":5,"area":"agents"},{"id":"2507.11936","title":"A Survey of Deep Learning for Geometry Problem Solving","created":"2025-07-16","cited_by_count":4,"area":"lr"},{"id":"2607.01243","title":"STRUCTSURVEY: Structured Agentic Retrieval for Automated Survey Paper Generation","created":"2026-05-12","cited_by_count":4,"area":"agents"},{"id":"2505.14406","title":"Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2508.19988","title":"AgentCoMa: A Compositional Benchmark Mixing Commonsense and Mathematical Reasoning in Real-World Scenarios","created":"2025-08-27","cited_by_count":3,"area":"lr"},{"id":"2511.15163","title":"Teaching According to Students' Aptitude: Personalized Mathematics Tutoring via Persona-, Memory-, and Forgetting-Aware LLMs","created":"2025-11-19","cited_by_count":3,"area":null},{"id":"2602.03061","title":"Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals","created":"2026-02-03","cited_by_count":3,"area":"lr"},{"id":"2603.13985","title":"Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models","created":"2026-03-14","cited_by_count":3,"area":null},{"id":"2604.21510","title":"OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving","created":"2026-04-23","cited_by_count":3,"area":"lr"},{"id":"2607.17299","title":"WAR: Workload-Aware Rollouts for Synchronous Agentic Reinforcement Learning","created":"2026-07-19","cited_by_count":3,"area":"agents"},{"id":"2505.14340","title":"Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey","created":"2025-05-20","cited_by_count":2,"area":"lr"},{"id":"2505.21191","title":"Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities","created":"2025-05-27","cited_by_count":2,"area":"moe"},{"id":"2506.23128","title":"Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons","created":"2025-06-29","cited_by_count":2,"area":"lr"},{"id":"2506.06282","title":"Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach","created":"2025-04-22","cited_by_count":1,"area":null},{"id":"2508.04576","title":"ConfProBench: A Confidence Evaluation Benchmark for MLLM-Based Process Judges","created":"2025-08-06","cited_by_count":1,"area":"lr"},{"id":"2508.06869","title":"VSI: Visual Subtitle Integration for Keyframe Selection to enhance Long Video Understanding","created":"2025-08-09","cited_by_count":1,"area":"mllm"},{"id":"2508.14913","title":"Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages","created":"2025-08-13","cited_by_count":1,"area":null},{"id":"2511.10201","title":"EffiReason-Bench: A Unified Benchmark for Evaluating and Advancing Efficient Reasoning in Large Language Models","created":"2025-11-13","cited_by_count":1,"area":"lr"},{"id":"2603.00925","title":"The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors","created":"2026-03-01","cited_by_count":1,"area":"mllm"},{"id":"2601.17489","title":"SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving","created":"2026-01-24","cited_by_count":0,"area":"lr"},{"id":"2602.14517","title":"Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil","created":"2026-02-16","cited_by_count":0,"area":"lr"},{"id":"2603.08291","title":"A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning","created":"2026-03-09","cited_by_count":0,"area":"lr"},{"id":"2603.24961","title":"Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2604.21187","title":"Doubly Saturated Ramsey Graphs: A Case Study in Computer-Assisted Mathematical Discovery","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2605.16011","title":"Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study","created":"2026-05-15","cited_by_count":0,"area":"mllm"},{"id":"2609.01386","title":"When Tokenization is Secretly Output Supervision","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.18991","title":"Lost in Perception: Isolating Perceptual and Reasoning Failures in Multimodal Physics and Geometry Reasoning","created":"2026-07-17","cited_by_count":0,"area":"lr"}],"next_cursor":null}