{"total":120,"rows":[{"id":"2408.03314","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","created":"2024-08-06","cited_by_count":1986,"area":"lr"},{"id":"2403.09629","title":"Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking","created":"2024-03-14","cited_by_count":301,"area":"lr"},{"id":"2406.07496","title":"TextGrad: Automatic \"Differentiation\" via Text","created":"2024-06-11","cited_by_count":273,"area":null},{"id":"2404.18400","title":"LLM-SR: Scientific Equation Discovery via Programming with Large Language Models","created":"2024-04-29","cited_by_count":133,"area":null},{"id":"2404.02831","title":"Empowering Biomedical Discovery with AI Agents","created":"2024-04-03","cited_by_count":118,"area":null},{"id":"2402.12275","title":"WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment","created":"2024-02-19","cited_by_count":107,"area":"wm"},{"id":"2411.07279","title":"The Surprising Effectiveness of Test-Time Training for Few-Shot Learning","created":"2024-11-11","cited_by_count":96,"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":"2406.11200","title":"AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning","created":"2024-06-17","cited_by_count":72,"area":"lr"},{"id":"2410.13639","title":"A Comparative Study on Reasoning Patterns of OpenAI's o1 Model","created":"2024-10-17","cited_by_count":63,"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":"2405.17503","title":"Code Repair with LLMs gives an Exploration-Exploitation Tradeoff","created":"2024-05-26","cited_by_count":51,"area":null},{"id":"2503.04412","title":"Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search","created":"2025-03-06","cited_by_count":51,"area":"lr"},{"id":"2407.07086","title":"Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models","created":"2024-07-09","cited_by_count":48,"area":"agents"},{"id":"2502.09858","title":"Automated Hypothesis Validation with Agentic Sequential Falsifications","created":"2025-02-14","cited_by_count":44,"area":"agents"},{"id":"2402.17879","title":"Automated Statistical Model Discovery with Language Models","created":"2024-02-27","cited_by_count":41,"area":null},{"id":"2507.14172","title":"Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI","created":"2025-07-10","cited_by_count":36,"area":"synth"},{"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":"2502.16069","title":"Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents","created":"2025-02-22","cited_by_count":33,"area":"agents"},{"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":"2406.05673","title":"Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples","created":"2024-06-09","cited_by_count":30,"area":"lr"},{"id":"2504.05081","title":"The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning","created":"2025-04-07","cited_by_count":30,"area":"lr"},{"id":"2504.09772","title":"Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning","created":"2025-04-14","cited_by_count":29,"area":"lr"},{"id":"2401.18006","title":"EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation","created":"2024-01-31","cited_by_count":27,"area":null},{"id":"2406.08316","title":"Is Programming by Example solved by LLMs?","created":"2024-06-12","cited_by_count":27,"area":null},{"id":"2505.10819","title":"PoE-World: Compositional World Modeling with Products of Programmatic Experts","created":"2025-05-16","cited_by_count":26,"area":"wm"},{"id":"2503.10814","title":"Thinking Machines: A Survey of LLM based Reasoning Strategies","created":"2025-03-13","cited_by_count":25,"area":"lr"},{"id":"2402.06025","title":"Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning","created":"2024-02-08","cited_by_count":24,"area":"lr"},{"id":"2509.04439","title":"ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory","created":"2025-09-04","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":"2408.10455","title":"IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and Abduction","created":"2024-08-19","cited_by_count":22,"area":"agents"},{"id":"2410.14702","title":"Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark","created":"2024-10-06","cited_by_count":22,"area":"lr"},{"id":"2501.01540","title":"BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery","created":"2025-01-02","cited_by_count":18,"area":null},{"id":"2502.13962","title":"Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering","created":"2025-02-19","cited_by_count":17,"area":"lr"},{"id":"2502.14634","title":"CER: Confidence Enhanced Reasoning in LLMs","created":"2025-02-20","cited_by_count":17,"area":"lr"},{"id":"2409.18980","title":"IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web","created":"2024-09-14","cited_by_count":16,"area":"mllm"},{"id":"2604.18572","title":"Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale","created":"2026-04-20","cited_by_count":16,"area":null},{"id":"2405.15880","title":"HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis","created":"2024-05-24","cited_by_count":15,"area":null},{"id":"2504.13828","title":"Generative AI Act II: Test Time Scaling Drives Cognition Engineering","created":"2025-04-18","cited_by_count":15,"area":"lr"},{"id":"2602.02156","title":"LoopViT: Scaling Visual ARC with Looped Transformers","created":"2026-02-02","cited_by_count":15,"area":"lr"},{"id":"2311.07070","title":"Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations","created":"2023-11-13","cited_by_count":12,"area":"synth"},{"id":"2402.01889","title":"The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning","created":"2024-02-02","cited_by_count":12,"area":"lr"},{"id":"2402.19471","title":"Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling","created":"2024-02-29","cited_by_count":12,"area":null},{"id":"2410.15939","title":"CausalGraph2LLM: Evaluating LLMs for Causal Queries","created":"2024-10-21","cited_by_count":12,"area":null},{"id":"2506.06725","title":"WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making","created":"2025-06-07","cited_by_count":12,"area":"wm"},{"id":"2310.08773","title":"Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving","created":"2023-10-12","cited_by_count":11,"area":null},{"id":"2403.15737","title":"Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning","created":"2024-03-23","cited_by_count":11,"area":"lr"},{"id":"2410.08126","title":"Mars: Situated Inductive Reasoning in an Open-World Environment","created":"2024-10-10","cited_by_count":11,"area":"lr"},{"id":"2502.08946","title":"The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding","created":"2025-02-13","cited_by_count":11,"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":"2504.05089","title":"Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks","created":"2025-04-07","cited_by_count":10,"area":null},{"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":"2410.10998","title":"WILT: A Multi-Turn, Memorization-Robust Inductive Logic Benchmark for LLMs","created":"2024-10-14","cited_by_count":9,"area":null},{"id":"2505.20561","title":"Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning","created":"2025-05-26","cited_by_count":9,"area":"lr"},{"id":"2510.20886","title":"Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People","created":"2025-10-23","cited_by_count":9,"area":"agents"},{"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":"2407.18069","title":"$\\text{C}^2\\text{P}$: Featuring Large Language Models with Causal Reasoning","created":"2024-07-25","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":"2607.01531","title":"OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3","created":"2026-07-01","cited_by_count":8,"area":"wm"},{"id":"2406.12084","title":"When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives","created":"2024-06-17","cited_by_count":7,"area":"lr"},{"id":"2505.09614","title":"Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?","created":"2025-05-14","cited_by_count":7,"area":"lr"},{"id":"2505.16477","title":"Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery","created":"2025-05-22","cited_by_count":7,"area":null},{"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":"2508.17380","title":"Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery","created":"2025-08-24","cited_by_count":7,"area":null},{"id":"2602.06448","title":"Principle-Evolvable Scientific Discovery via Uncertainty Minimization","created":"2026-02-06","cited_by_count":7,"area":null},{"id":"2605.09650","title":"Workspace Optimization: How to Train Your Agent","created":"2026-05-10","cited_by_count":7,"area":"agents"},{"id":"2404.11095","title":"Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues","created":"2024-04-17","cited_by_count":6,"area":"alignment"},{"id":"2408.12212","title":"Relational decomposition for program synthesis","created":"2024-08-22","cited_by_count":6,"area":null},{"id":"2506.02648","title":"Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation","created":"2025-06-03","cited_by_count":6,"area":"lr"},{"id":"2511.15703","title":"Think Visually, Reason Textually: Vision-Language Synergy in ARC","created":"2025-11-19","cited_by_count":6,"area":null},{"id":"2511.18964","title":"Synthesizing Visual Concepts as Vision-Language Programs","created":"2025-11-24","cited_by_count":6,"area":"lr"},{"id":"2310.20170","title":"DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text","created":"2023-10-31","cited_by_count":5,"area":"lr"},{"id":"2505.09027","title":"Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation","created":"2025-05-13","cited_by_count":5,"area":null},{"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":"2505.21935","title":"From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models","created":"2025-05-28","cited_by_count":5,"area":"lr"},{"id":"2606.26460","title":"auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation","created":"2026-06-24","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":"2502.07190","title":"Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task","created":"2025-02-11","cited_by_count":4,"area":null},{"id":"2507.15676","title":"Agentic AI for autonomous anomaly management in complex systems","created":"2025-07-21","cited_by_count":4,"area":"agents"},{"id":"2509.17393","title":"Program Synthesis via Test-Time Transduction","created":"2025-09-22","cited_by_count":4,"area":null},{"id":"2608.14490","title":"Twin: Playing an Unknown Game with a Test-Time Digital Twin","created":"2026-08-14","cited_by_count":4,"area":"wm"},{"id":"2505.05515","title":"Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience","created":"2025-05-07","cited_by_count":3,"area":"agents"},{"id":"2508.07690","title":"LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval","created":"2025-08-11","cited_by_count":3,"area":"agents"},{"id":"2509.21874","title":"Abductive Logical Rule Induction by Bridging Inductive Logic Programming and Multimodal Large Language Models","created":"2025-09-26","cited_by_count":3,"area":"mllm"},{"id":"2404.09384","title":"Generative transformations and patterns in LLM-native approaches for software verification and falsification","created":"2024-04-14","cited_by_count":2,"area":null},{"id":"2411.18158","title":"Abductive Symbolic Solver on Abstraction and Reasoning Corpus","created":"2024-11-27","cited_by_count":2,"area":"lr"},{"id":"2501.04424","title":"NSA: Neuro-symbolic ARC Challenge","created":"2025-01-08","cited_by_count":2,"area":"lr"},{"id":"2504.09387","title":"On Language Models' Sensitivity to Suspicious Coincidences","created":"2025-04-13","cited_by_count":2,"area":null},{"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":"2505.21236","title":"Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies","created":"2025-05-27","cited_by_count":2,"area":"deeprl"},{"id":"2506.19613","title":"Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI","created":"2025-06-24","cited_by_count":2,"area":null},{"id":"2509.12263","title":"InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning","created":"2025-09-12","cited_by_count":2,"area":"mllm"},{"id":"2510.25517","title":"Predicate Renaming via Large Language Models","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2607.01131","title":"Autonomous Scientific Discovery via Iterative Meta-Reflection","created":"2026-07-01","cited_by_count":2,"area":null},{"id":"2410.01952","title":"TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking","created":"2024-10-02","cited_by_count":1,"area":"lr"},{"id":"2501.00224","title":"Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices","created":"2024-12-31","cited_by_count":1,"area":null},{"id":"2505.14744","title":"Beyond Either-Or Reasoning: Transduction and Induction as Cooperative Problem-Solving Paradigms","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2511.08747","title":"Vector Symbolic Algebras for the Abstraction and Reasoning Corpus","created":"2025-11-11","cited_by_count":1,"area":null},{"id":"2603.23244","title":"Online library learning in human visual puzzle solving","created":"2026-03-24","cited_by_count":1,"area":null}],"next_cursor":"100"}