{"total":63,"rows":[{"id":"2307.02477","title":"Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks","created":"2023-07-05","cited_by_count":246,"area":"lr"},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2401.04925","title":"The Impact of Reasoning Step Length on Large Language Models","created":"2024-01-10","cited_by_count":153,"area":"lr"},{"id":"2309.17167","title":"DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks","created":"2023-09-29","cited_by_count":101,"area":"lr"},{"id":"2310.08559","title":"Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement","created":"2023-10-12","cited_by_count":89,"area":"lr"},{"id":"2310.07064","title":"Large Language Models can Learn Rules","created":"2023-10-10","cited_by_count":69,"area":null},{"id":"2305.19555","title":"Large Language Models Are Not Strong Abstract Reasoners","created":"2023-05-31","cited_by_count":53,"area":"lr"},{"id":"2310.15515","title":"Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation","created":"2023-10-24","cited_by_count":51,"area":null},{"id":"2310.14491","title":"Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models","created":"2023-10-23","cited_by_count":50,"area":"lr"},{"id":"2502.09858","title":"Automated Hypothesis Validation with Agentic Sequential Falsifications","created":"2025-02-14","cited_by_count":44,"area":"agents"},{"id":"2508.01191","title":"Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens","created":"2025-08-02","cited_by_count":43,"area":"lr"},{"id":"2408.00114","title":"Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs","created":"2024-07-31","cited_by_count":29,"area":"lr"},{"id":"2408.14511","title":"Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods","created":"2024-08-25","cited_by_count":29,"area":"lr"},{"id":"2602.15785","title":"This human study did not involve human subjects: Validating LLM simulations as behavioral evidence","created":"2026-02-17","cited_by_count":29,"area":null},{"id":"2408.09503","title":"Out-of-distribution generalization via composition: a lens through induction heads in Transformers","created":"2024-08-18","cited_by_count":28,"area":null},{"id":"2409.09584","title":"RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation","created":"2024-09-15","cited_by_count":26,"area":"lr"},{"id":"2503.22165","title":"Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models","created":"2025-03-28","cited_by_count":25,"area":"lr"},{"id":"2410.04691","title":"Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning","created":"2024-10-07","cited_by_count":21,"area":null},{"id":"2503.23084","title":"The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction","created":"2025-03-29","cited_by_count":21,"area":"lr"},{"id":"2309.09506","title":"LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models","created":"2023-09-18","cited_by_count":19,"area":null},{"id":"2404.00205","title":"Conceptual and Unbiased Reasoning in Language Models","created":"2024-03-30","cited_by_count":19,"area":"lr"},{"id":"2406.13940","title":"AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought","created":"2024-06-20","cited_by_count":19,"area":"lr"},{"id":"2309.06085","title":"BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models","created":"2023-09-12","cited_by_count":18,"area":null},{"id":"2410.01769","title":"Quantifying Generalization Complexity for Large Language Models","created":"2024-10-02","cited_by_count":18,"area":null},{"id":"2410.09542","title":"MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models","created":"2024-10-12","cited_by_count":17,"area":"lr"},{"id":"2406.12255","title":"A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning","created":"2024-06-18","cited_by_count":15,"area":"lr"},{"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":"2404.00560","title":"A Theory for Length Generalization in Learning to Reason","created":"2024-03-31","cited_by_count":11,"area":null},{"id":"2410.03595","title":"Understanding Reasoning in Chain-of-Thought from the Hopfieldian View","created":"2024-10-04","cited_by_count":11,"area":"lr"},{"id":"2505.21069","title":"CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building","created":"2025-05-27","cited_by_count":10,"area":"agents"},{"id":"2310.17784","title":"Data-Centric Financial Large Language Models","created":"2023-10-07","cited_by_count":8,"area":null},{"id":"2403.05789","title":"ItD: Large Language Models Can Teach Themselves Induction through Deduction","created":"2024-03-09","cited_by_count":8,"area":null},{"id":"2510.13193","title":"ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG","created":"2025-10-15","cited_by_count":8,"area":"rag"},{"id":"2310.04743","title":"Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models","created":"2023-10-07","cited_by_count":7,"area":"lr"},{"id":"2311.16173","title":"Conditions for Length Generalization in Learning Reasoning Skills","created":"2023-11-22","cited_by_count":7,"area":"lr"},{"id":"2503.11154","title":"Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models","created":"2025-03-14","cited_by_count":7,"area":"lr"},{"id":"2307.03762","title":"Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models","created":"2023-07-07","cited_by_count":6,"area":null},{"id":"2505.11031","title":"OntoURL: A Benchmark for Evaluating Large Language Models on Symbolic Ontological Understanding, Reasoning and Learning","created":"2025-05-16","cited_by_count":6,"area":"lr"},{"id":"2506.08672","title":"RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling","created":"2025-06-10","cited_by_count":6,"area":"lr"},{"id":"2310.15258","title":"Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention","created":"2023-10-23","cited_by_count":4,"area":"lr"},{"id":"2401.11725","title":"Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models","created":"2024-01-22","cited_by_count":4,"area":null},{"id":"2405.02858","title":"Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation","created":"2024-05-05","cited_by_count":4,"area":"agents"},{"id":"2410.12040","title":"Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction","created":"2024-10-15","cited_by_count":4,"area":"lr"},{"id":"2504.00409","title":"Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2312.11720","title":"Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models","created":"2023-12-18","cited_by_count":2,"area":"lr"},{"id":"2410.17161","title":"Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence","created":"2024-10-22","cited_by_count":2,"area":null},{"id":"2411.03287","title":"The Future of Intelligent Healthcare: A Systematic Analysis and Discussion on the Integration and Impact of Robots Using Large Language Models for Healthcare","created":"2024-11-05","cited_by_count":2,"area":null},{"id":"2412.17819","title":"Inductive Linguistic Reasoning with Large Language Models","created":"2024-12-09","cited_by_count":2,"area":"lr"},{"id":"2505.23996","title":"Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2508.13037","title":"Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction","created":"2025-08-18","cited_by_count":2,"area":"lr"},{"id":"2510.13417","title":"Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse","created":"2025-10-15","cited_by_count":2,"area":"lr"},{"id":"2406.02804","title":"ACCORD: Closing the Commonsense Measurability Gap","created":"2024-06-04","cited_by_count":1,"area":"lr"},{"id":"2410.13018","title":"Learning Representations for Reasoning: Generalizing Across Diverse Structures","created":"2024-10-16","cited_by_count":1,"area":"lr"},{"id":"2501.03166","title":"Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text","created":"2025-01-06","cited_by_count":1,"area":null},{"id":"2311.08941","title":"Transformers in the Service of Description Logic-based Contexts","created":"2023-11-15","cited_by_count":0,"area":null},{"id":"2404.11870","title":"Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory","created":"2024-04-18","cited_by_count":0,"area":null},{"id":"2502.02315","title":"Shuttle Between the Instructions and the Parameters of Large Language Models","created":"2025-02-04","cited_by_count":0,"area":null},{"id":"2509.18200","title":"Conversational Orientation Reasoning: Egocentric-to-Allocentric Navigation with Multimodal Chain-of-Thought","created":"2025-09-20","cited_by_count":0,"area":"lr"},{"id":"2510.13850","title":"Revisiting the UID Hypothesis in LLM Reasoning Traces","created":"2025-10-11","cited_by_count":0,"area":"lr"},{"id":"2601.02604","title":"Scalable Construction of a Lung Cancer Knowledge Base: Profiling Semantic Reasoning in LLMs","created":"2026-01-05","cited_by_count":0,"area":"lr"},{"id":"2607.17075","title":"A Systematic Evaluation of Traditional Privacy Policy Analysis Tools Against LLMs","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2608.16707","title":"Semantic Bandits: In-Context Exploration-Exploitation is Biased by Semantic Priors","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.10559","title":"M3-Former: Multimodal Transformer with Mixture-of-Experts for Long-Term Vessel Trajectory Prediction","created":"2026-08-02","cited_by_count":0,"area":"moe"}],"next_cursor":null}