{"total":101,"rows":[{"id":"2307.04721","title":"Large Language Models as General Pattern Machines","created":"2023-07-10","cited_by_count":197,"area":null},{"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":"2305.18354","title":"LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations","created":"2023-05-26","cited_by_count":82,"area":"lr"},{"id":"2406.02061","title":"Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models","created":"2024-06-04","cited_by_count":68,"area":"lr"},{"id":"2403.13315","title":"PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns","created":"2024-03-20","cited_by_count":57,"area":"lr"},{"id":"2311.09247","title":"Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks","created":"2023-11-14","cited_by_count":55,"area":"lr"},{"id":"2411.02272","title":"Combining Induction and Transduction for Abstract Reasoning","created":"2024-11-04","cited_by_count":53,"area":"lr"},{"id":"2510.04871","title":"Less is More: Recursive Reasoning with Tiny Networks","created":"2025-10-06","cited_by_count":45,"area":"lr"},{"id":"2305.13264","title":"Prompting is not a substitute for probability measurements in large language models","created":"2023-05-22","cited_by_count":44,"area":null},{"id":"2502.09858","title":"Automated Hypothesis Validation with Agentic Sequential Falsifications","created":"2025-02-14","cited_by_count":44,"area":"agents"},{"id":"2401.07102","title":"Evolving Code with A Large Language Model","created":"2024-01-13","cited_by_count":43,"area":null},{"id":"2505.24785","title":"EXP-Bench: Can AI Conduct AI Research Experiments?","created":"2025-05-30","cited_by_count":37,"area":null},{"id":"2409.01374","title":"H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark","created":"2024-09-02","cited_by_count":33,"area":null},{"id":"2403.11793","title":"Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus","created":"2024-03-18","cited_by_count":32,"area":"lr"},{"id":"2502.04381","title":"Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning","created":"2025-02-05","cited_by_count":31,"area":"lr"},{"id":"2404.13591","title":"MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning","created":"2024-04-21","cited_by_count":30,"area":"lr"},{"id":"2406.10424","title":"What is the Visual Cognition Gap between Humans and Multimodal LLMs?","created":"2024-06-14","cited_by_count":30,"area":"mllm"},{"id":"2407.17773","title":"KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models","created":"2024-07-25","cited_by_count":24,"area":"lr"},{"id":"2402.04858","title":"CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay","created":"2024-02-07","cited_by_count":23,"area":"lr"},{"id":"2605.12978","title":"Useful Memories Become Faulty When Continuously Updated by LLMs","created":"2026-05-13","cited_by_count":20,"area":"agents"},{"id":"2405.03103","title":"Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs","created":"2024-05-06","cited_by_count":18,"area":null},{"id":"2505.07859","title":"Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective","created":"2025-05-08","cited_by_count":17,"area":"lr"},{"id":"2410.19546","title":"Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?","created":"2024-10-25","cited_by_count":16,"area":"lr"},{"id":"2602.02156","title":"LoopViT: Scaling Visual ARC with Looped Transformers","created":"2026-02-02","cited_by_count":15,"area":"lr"},{"id":"2402.05785","title":"Limits of Transformer Language Models on Learning to Compose Algorithms","created":"2024-02-08","cited_by_count":13,"area":null},{"id":"2502.16435","title":"Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs","created":"2025-02-23","cited_by_count":13,"area":null},{"id":"2306.08204","title":"Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer","created":"2023-06-14","cited_by_count":12,"area":"offlinerl"},{"id":"2406.01352","title":"Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience","created":"2024-06-03","cited_by_count":11,"area":null},{"id":"2410.08126","title":"Mars: Situated Inductive Reasoning in an Open-World Environment","created":"2024-10-10","cited_by_count":11,"area":"lr"},{"id":"2401.07426","title":"Generalized Planning for the Abstraction and Reasoning Corpus","created":"2024-01-15","cited_by_count":10,"area":null},{"id":"2405.08989","title":"What is it for a Machine Learning Model to Have a Capability?","created":"2024-05-14","cited_by_count":10,"area":null},{"id":"2410.06405","title":"Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects","created":"2024-10-08","cited_by_count":10,"area":"lr"},{"id":"2510.02125","title":"Do AI Models Perform Human-like Abstract Reasoning Across Modalities?","created":"2025-10-02","cited_by_count":10,"area":"lr"},{"id":"2511.00162","title":"ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus","created":"2025-10-31","cited_by_count":10,"area":null},{"id":"2411.02348","title":"Can Large Language Models generalize analogy solving like children can?","created":"2024-11-04","cited_by_count":9,"area":null},{"id":"2311.08083","title":"Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method","created":"2023-11-14","cited_by_count":8,"area":"lr"},{"id":"2412.07322","title":"ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)","created":"2024-12-10","cited_by_count":8,"area":"lr"},{"id":"2506.06211","title":"PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts","created":"2025-06-06","cited_by_count":8,"area":"lr"},{"id":"2506.07280","title":"From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models","created":"2025-06-08","cited_by_count":8,"area":"diffusion"},{"id":"2403.09734","title":"Do Large Language Models Solve ARC Visual Analogies Like People Do?","created":"2024-03-13","cited_by_count":7,"area":"lr"},{"id":"2407.20806","title":"ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning","created":"2024-07-30","cited_by_count":7,"area":null},{"id":"2410.17218","title":"Creativity in AI: Progresses and Challenges","created":"2024-10-22","cited_by_count":7,"area":null},{"id":"2506.02537","title":"VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning","created":"2025-06-03","cited_by_count":7,"area":"lr"},{"id":"2506.14276","title":"Don't throw the baby out with the bathwater: How and why deep learning for ARC","created":"2025-06-17","cited_by_count":7,"area":null},{"id":"2309.08636","title":"ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?","created":"2023-09-14","cited_by_count":6,"area":null},{"id":"2312.13096","title":"In Generative AI we Trust: Can Chatbots Effectively Verify Political Information?","created":"2023-12-20","cited_by_count":6,"area":null},{"id":"2412.13422","title":"Generating Diverse Hypotheses for Inductive Reasoning","created":"2024-12-18","cited_by_count":6,"area":"lr"},{"id":"2502.13170","title":"Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment","created":"2025-02-17","cited_by_count":6,"area":"lr"},{"id":"2511.02109","title":"Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences","created":"2025-11-03","cited_by_count":6,"area":"alignment"},{"id":"2511.15703","title":"Think Visually, Reason Textually: Vision-Language Synergy in ARC","created":"2025-11-19","cited_by_count":6,"area":null},{"id":"2308.13534","title":"Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph","created":"2023-08-13","cited_by_count":5,"area":null},{"id":"2407.11000","title":"Autonomous Prompt Engineering in Large Language Models","created":"2024-06-25","cited_by_count":5,"area":null},{"id":"2503.11207","title":"Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?","created":"2025-03-14","cited_by_count":5,"area":"lr"},{"id":"2505.16031","title":"Children's Mental Models of AI Reasoning: Implications for AI Literacy Education","created":"2025-05-21","cited_by_count":5,"area":"lr"},{"id":"2505.18071","title":"Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals","created":"2025-05-23","cited_by_count":5,"area":"lr"},{"id":"2505.21850","title":"Beyond Perception: Evaluating Abstract Visual Reasoning through Multi-Stage Task","created":"2025-05-28","cited_by_count":5,"area":"lr"},{"id":"2506.04461","title":"Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey","created":"2025-06-04","cited_by_count":5,"area":null},{"id":"2511.16886","title":"Latent Reasoning in TRMs is Secretly a Policy Improvement Operator","created":"2025-11-21","cited_by_count":5,"area":null},{"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":"2406.11061","title":"A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning","created":"2024-06-16","cited_by_count":4,"area":"lr"},{"id":"2509.03636","title":"CausalARC: Abstract Reasoning with Causal World Models","created":"2025-09-03","cited_by_count":4,"area":"wm"},{"id":"2603.02193","title":"Symbol-Equivariant Recurrent Reasoning Models","created":"2026-03-02","cited_by_count":4,"area":"lr"},{"id":"2312.03042","title":"Inherent limitations of LLMs regarding spatial information","created":"2023-12-05","cited_by_count":3,"area":null},{"id":"2604.18839","title":"One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models","created":"2026-04-20","cited_by_count":3,"area":null},{"id":"2608.12593","title":"DiG-bench: Discovery in Games","created":"2026-08-12","cited_by_count":3,"area":null},{"id":"2411.12828","title":"Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction","created":"2024-11-19","cited_by_count":2,"area":"agents"},{"id":"2501.04424","title":"NSA: Neuro-symbolic ARC Challenge","created":"2025-01-08","cited_by_count":2,"area":"lr"},{"id":"2505.17482","title":"From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark","created":"2025-05-23","cited_by_count":2,"area":"lr"},{"id":"2505.20672","title":"GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoning","created":"2025-05-27","cited_by_count":2,"area":"lr"},{"id":"2509.20645","title":"Anticipatory Evaluation of Language Models: Predicting LLM Benchmark Scores from Descriptions","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2602.08693","title":"Reasoning aligns language models to human cognition","created":"2026-02-09","cited_by_count":2,"area":"lr"},{"id":"2603.05099","title":"ARC-TGI: Human-Validated Task Generators with Reasoning Chain Templates for ARC-AGI","created":"2026-03-05","cited_by_count":2,"area":"lr"},{"id":"2609.21181","title":"Implicit Rule Induction with Test-Time Task Embeddings in ARC-like Tasks","created":"2026-09-18","cited_by_count":2,"area":null},{"id":"2407.18968","title":"Intelligence Analysis of Language Models","created":"2024-07-20","cited_by_count":1,"area":"lr"},{"id":"2408.01935","title":"Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference","created":"2024-08-04","cited_by_count":1,"area":null},{"id":"2504.15903","title":"Impact of Noise on LLM-Models Performance in Abstraction and Reasoning Corpus (ARC) Tasks with Model Temperature Considerations","created":"2025-04-22","cited_by_count":1,"area":"lr"},{"id":"2508.19035","title":"Investigating Advanced Reasoning of Large Language Models via Black-Box Environment Interaction","created":"2025-08-26","cited_by_count":1,"area":"lr"},{"id":"2509.06213","title":"Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning","created":"2025-09-07","cited_by_count":1,"area":"deeprl"},{"id":"2605.01913","title":"RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs","created":"2026-05-03","cited_by_count":1,"area":"alignment"},{"id":"2606.03741","title":"When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2607.28801","title":"Benchmarks Are Not Monolithic: Sample-Level Auditing and Orchestration for LLM Evaluation","created":"2026-07-30","cited_by_count":1,"area":null},{"id":"2609.27288","title":"PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks","created":"2026-09-23","cited_by_count":1,"area":null},{"id":"2310.18807","title":"OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning","created":"2023-10-28","cited_by_count":0,"area":"lr"},{"id":"2409.14191","title":"Addressing and Visualizing Misalignments in Human Task-Solving Trajectories","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2503.07554","title":"An Empirical Comparison of Cost Functions in Inductive Logic Programming","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2509.19569","title":"ExPe: Exact Positional Encodings for Generative Transformer Models with Extrapolating Capabilities","created":"2025-09-23","cited_by_count":0,"area":null},{"id":"2511.15282","title":"Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2601.11866","title":"Advances in LLM Reasoning Enable Flexibility in Clinical Problem-Solving","created":"2026-01-17","cited_by_count":0,"area":"lr"},{"id":"2604.03374","title":"CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge","created":"2026-04-03","cited_by_count":0,"area":"lr"},{"id":"2604.14437","title":"LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2605.17278","title":"A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation","created":"2026-05-17","cited_by_count":0,"area":"lr"},{"id":"2605.23141","title":"VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.00148","title":"StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning","created":"2026-05-29","cited_by_count":0,"area":"lr"},{"id":"2606.09026","title":"Structural Grid Descriptors Predict Within-Task Solver Success on ARC-AGI","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2608.04111","title":"GEB-Bench: Abstract Structures Told in Many Voices","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.09888","title":"BDH-CQ: In-Context Learning with Recurrent Latent Reasoning","created":"2026-08-10","cited_by_count":0,"area":"lr"},{"id":"2608.26187","title":"When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2609.33270","title":"Structured Sparse Memory for Recurrent Reasoning","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.39967","title":"What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.08680","title":"A Systematic Study of Small Language Models on Abstract Reasoning Tasks","created":"2026-10-06","cited_by_count":0,"area":"lr"}],"next_cursor":"100"}