{"total":278,"rows":[{"id":"2302.04023","title":"A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity","created":"2023-02-08","cited_by_count":894,"area":"lr"},{"id":"2309.13007","title":"ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs","created":"2023-09-22","cited_by_count":309,"area":"lr"},{"id":"2308.03188","title":"Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies","created":"2023-08-06","cited_by_count":238,"area":"lr"},{"id":"2311.17311","title":"Universal Self-Consistency for Large Language Model Generation","created":"2023-11-29","cited_by_count":203,"area":"lr"},{"id":"2212.07919","title":"ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning","created":"2022-12-15","cited_by_count":177,"area":"lr"},{"id":"2210.07128","title":"Language Models of Code are Few-Shot Commonsense Learners","created":"2022-10-13","cited_by_count":160,"area":"lr"},{"id":"2212.00193","title":"Distilling Reasoning Capabilities into Smaller Language Models","created":"2022-12-01","cited_by_count":158,"area":"lr"},{"id":"2512.08296","title":"Towards a Science of Scaling Agent Systems","created":"2025-12-09","cited_by_count":138,"area":"lr"},{"id":"2305.14536","title":"MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems","created":"2023-05-23","cited_by_count":131,"area":"lr"},{"id":"2412.19442","title":"A Survey on Large Language Model Acceleration based on KV Cache Management","created":"2024-12-27","cited_by_count":131,"area":"lr"},{"id":"2503.05179","title":"Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching","created":"2025-03-07","cited_by_count":117,"area":"lr"},{"id":"2503.15850","title":"Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey","created":"2025-03-20","cited_by_count":95,"area":"lr"},{"id":"2405.10825","title":"Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities","created":"2024-05-17","cited_by_count":83,"area":"lr"},{"id":"2304.10703","title":"ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness","created":"2023-04-21","cited_by_count":77,"area":"lr"},{"id":"2305.13412","title":"Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method","created":"2023-05-22","cited_by_count":76,"area":"lr"},{"id":"2501.19201","title":"Efficient Reasoning with Hidden Thinking","created":"2025-01-31","cited_by_count":75,"area":"lr"},{"id":"2308.09729","title":"MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models","created":"2023-08-17","cited_by_count":73,"area":"lr"},{"id":"2305.13091","title":"Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization","created":"2023-05-22","cited_by_count":70,"area":"lr"},{"id":"2312.06722","title":"EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning","created":"2023-12-11","cited_by_count":69,"area":"lr"},{"id":"2404.02657","title":"Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models","created":"2024-04-03","cited_by_count":65,"area":"lr"},{"id":"2306.03100","title":"Rethinking Model Evaluation as Narrowing the Socio-Technical Gap","created":"2023-06-01","cited_by_count":56,"area":"lr"},{"id":"2505.12864","title":"LEXam: Benchmarking Legal Reasoning on 340 Law Exams","created":"2025-05-19","cited_by_count":54,"area":"lr"},{"id":"2404.04925","title":"Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers","created":"2024-04-07","cited_by_count":51,"area":"lr"},{"id":"2504.12522","title":"Evaluating the Diversity and Quality of LLM Generated Content","created":"2025-04-16","cited_by_count":51,"area":"lr"},{"id":"2407.09136","title":"Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors","created":"2024-07-12","cited_by_count":41,"area":"lr"},{"id":"2202.04800","title":"The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning","created":"2022-02-10","cited_by_count":38,"area":"lr"},{"id":"2410.18963","title":"OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning","created":"2024-10-24","cited_by_count":38,"area":"lr"},{"id":"2410.06458","title":"LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints","created":"2024-10-09","cited_by_count":35,"area":"lr"},{"id":"2508.01491","title":"The Homogenizing Effect of Large Language Models on Human Expression and Thought","created":"2025-08-02","cited_by_count":35,"area":"lr"},{"id":"2401.15269","title":"Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models","created":"2024-01-27","cited_by_count":34,"area":"lr"},{"id":"2506.10521","title":"Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning","created":"2025-06-12","cited_by_count":34,"area":"lr"},{"id":"2305.17878","title":"Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models","created":"2023-05-29","cited_by_count":31,"area":"lr"},{"id":"2307.02768","title":"Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts","created":"2023-07-06","cited_by_count":31,"area":"lr"},{"id":"2310.14053","title":"Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain","created":"2023-10-21","cited_by_count":31,"area":"lr"},{"id":"2410.20482","title":"What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration","created":"2024-10-27","cited_by_count":31,"area":"lr"},{"id":"2203.14040","title":"Visual Abductive Reasoning","created":"2022-03-26","cited_by_count":30,"area":"lr"},{"id":"2404.00376","title":"Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks","created":"2024-03-30","cited_by_count":30,"area":"lr"},{"id":"2411.08147","title":"Large Language Models Can Self-Improve in Long-context Reasoning","created":"2024-11-12","cited_by_count":29,"area":"lr"},{"id":"2203.08480","title":"E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning","created":"2022-03-16","cited_by_count":28,"area":"lr"},{"id":"2408.00802","title":"Leveraging LLM Reasoning Enhances Personalized Recommender Systems","created":"2024-07-22","cited_by_count":28,"area":"lr"},{"id":"2503.13517","title":"CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning","created":"2025-03-14","cited_by_count":28,"area":"lr"},{"id":"2305.04808","title":"CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning","created":"2023-05-08","cited_by_count":25,"area":"lr"},{"id":"2406.11451","title":"CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation","created":"2024-06-17","cited_by_count":25,"area":"lr"},{"id":"2309.13182","title":"Effective Distillation of Table-based Reasoning Ability from LLMs","created":"2023-09-22","cited_by_count":23,"area":"lr"},{"id":"2409.13035","title":"TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning","created":"2024-09-19","cited_by_count":22,"area":"lr"},{"id":"2507.07988","title":"Automating Expert-Level Medical Reasoning Evaluation of Large Language Models","created":"2025-07-10","cited_by_count":22,"area":"lr"},{"id":"2407.02056","title":"Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation","created":"2024-07-02","cited_by_count":21,"area":"lr"},{"id":"2412.15118","title":"Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation","created":"2024-12-19","cited_by_count":21,"area":"lr"},{"id":"2203.07285","title":"Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts","created":"2022-03-14","cited_by_count":19,"area":"lr"},{"id":"2305.01505","title":"Beyond Classification: Financial Reasoning in State-of-the-Art Language Models","created":"2023-04-30","cited_by_count":19,"area":"lr"},{"id":"2401.13311","title":"ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models","created":"2024-01-24","cited_by_count":19,"area":"lr"},{"id":"2404.16807","title":"Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning","created":"2024-04-25","cited_by_count":19,"area":"lr"},{"id":"2509.09731","title":"Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning","created":"2025-09-10","cited_by_count":19,"area":"lr"},{"id":"2405.14039","title":"Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning","created":"2024-05-22","cited_by_count":18,"area":"lr"},{"id":"2405.14169","title":"Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography","created":"2024-05-23","cited_by_count":18,"area":"lr"},{"id":"2410.07507","title":"Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)","created":"2024-10-10","cited_by_count":18,"area":"lr"},{"id":"2601.18744","title":"TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models","created":"2026-01-26","cited_by_count":18,"area":"lr"},{"id":"2306.09237","title":"One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial Support","created":"2023-06-15","cited_by_count":16,"area":"lr"},{"id":"2407.05399","title":"IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning","created":"2024-07-07","cited_by_count":16,"area":"lr"},{"id":"2506.16962","title":"Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search","created":"2025-06-20","cited_by_count":16,"area":"lr"},{"id":"2509.11656","title":"MALLM: Multi-Agent Large Language Models Framework","created":"2025-09-15","cited_by_count":15,"area":"lr"},{"id":"2401.15328","title":"Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance","created":"2024-01-27","cited_by_count":14,"area":"lr"},{"id":"2502.14083","title":"Are Rules Meant to be Broken? Understanding Multilingual Moral Reasoning as a Computational Pipeline with UniMoral","created":"2025-02-19","cited_by_count":14,"area":"lr"},{"id":"2505.13778","title":"CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs","created":"2025-05-19","cited_by_count":14,"area":"lr"},{"id":"2505.18700","title":"GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains","created":"2025-05-24","cited_by_count":14,"area":"lr"},{"id":"2406.10834","title":"Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning","created":"2024-06-16","cited_by_count":13,"area":"lr"},{"id":"2506.20100","title":"MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations","created":"2025-06-25","cited_by_count":13,"area":"lr"},{"id":"2602.03955","title":"AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent","created":"2026-02-03","cited_by_count":13,"area":"lr"},{"id":"2312.05180","title":"PathFinder: Guided Search over Multi-Step Reasoning Paths","created":"2023-12-08","cited_by_count":12,"area":"lr"},{"id":"2409.07355","title":"Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation","created":"2024-09-11","cited_by_count":12,"area":"lr"},{"id":"2501.18724","title":"Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction","created":"2025-01-30","cited_by_count":12,"area":"lr"},{"id":"2502.20592","title":"Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing","created":"2025-02-27","cited_by_count":12,"area":"lr"},{"id":"2305.07797","title":"ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems","created":"2023-05-12","cited_by_count":11,"area":"lr"},{"id":"2309.16090","title":"TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration","created":"2023-09-28","cited_by_count":11,"area":"lr"},{"id":"2310.04484","title":"Ada-Instruct: Adapting Instruction Generators for Complex Reasoning","created":"2023-10-06","cited_by_count":11,"area":"lr"},{"id":"2505.11718","title":"REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning","created":"2025-05-16","cited_by_count":11,"area":"lr"},{"id":"2505.17406","title":"Robust Answers, Fragile Logic: Probing the Decoupling Hypothesis in LLM Reasoning","created":"2025-05-23","cited_by_count":11,"area":"lr"},{"id":"2506.09958","title":"Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy","created":"2025-06-11","cited_by_count":11,"area":"lr"},{"id":"2511.18659","title":"CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning","created":"2025-11-24","cited_by_count":11,"area":"lr"},{"id":"2503.12123","title":"MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling","created":"2025-03-15","cited_by_count":10,"area":"lr"},{"id":"2505.20740","title":"MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs","created":"2025-05-27","cited_by_count":10,"area":"lr"},{"id":"2505.24173","title":"DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?","created":"2025-05-30","cited_by_count":10,"area":"lr"},{"id":"2509.20823","title":"CaTS-Bench: Can Language Models Describe Time Series?","created":"2025-09-25","cited_by_count":10,"area":"lr"},{"id":"2510.07243","title":"LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation","created":"2025-10-08","cited_by_count":10,"area":"lr"},{"id":"2512.21871","title":"Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?","created":"2025-12-26","cited_by_count":10,"area":"lr"},{"id":"2409.07123","title":"Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem","created":"2024-09-11","cited_by_count":9,"area":"lr"},{"id":"2506.06600","title":"RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA under Data and Hardware Constraints","created":"2025-06-07","cited_by_count":9,"area":"lr"},{"id":"2505.01199","title":"CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning","created":"2025-05-02","cited_by_count":8,"area":"lr"},{"id":"2508.15851","title":"DocHop-QA: Towards Multi-Hop Reasoning over Multimodal Document Collections","created":"2025-08-20","cited_by_count":8,"area":"lr"},{"id":"2509.03805","title":"Measuring How (Not Just Whether) VLMs Build Common Ground","created":"2025-09-04","cited_by_count":8,"area":"lr"},{"id":"2510.08630","title":"ExPO-HM: Learning to Explain-then-Detect for Hateful Meme Detection","created":"2025-10-08","cited_by_count":8,"area":"lr"},{"id":"2512.06581","title":"MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding","created":"2025-12-06","cited_by_count":8,"area":"lr"},{"id":"2601.22588","title":"Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry","created":"2026-01-30","cited_by_count":8,"area":"lr"},{"id":"2402.10744","title":"GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models","created":"2024-02-16","cited_by_count":7,"area":"lr"},{"id":"2409.05370","title":"KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models","created":"2024-09-09","cited_by_count":7,"area":"lr"},{"id":"2501.10937","title":"Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data","created":"2025-01-19","cited_by_count":7,"area":"lr"},{"id":"2505.22950","title":"StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs","created":"2025-05-29","cited_by_count":7,"area":"lr"},{"id":"2508.06328","title":"M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation","created":"2025-08-08","cited_by_count":7,"area":"lr"},{"id":"2508.12026","title":"Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems","created":"2025-08-16","cited_by_count":7,"area":"lr"},{"id":"2509.25851","title":"MuSLR: Multimodal Symbolic Logical Reasoning","created":"2025-09-30","cited_by_count":7,"area":"lr"}],"next_cursor":"100"}