{"total":98,"rows":[{"id":"2203.11171","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","created":"2022-03-21","cited_by_count":5708,"area":"lr"},{"id":"2205.11916","title":"Large Language Models are Zero-Shot Reasoners","created":"2022-05-24","cited_by_count":4374,"area":"lr"},{"id":"2209.09513","title":"Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering","created":"2022-09-20","cited_by_count":1919,"area":"lr"},{"id":"2202.12837","title":"Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?","created":"2022-02-25","cited_by_count":1434,"area":"lr"},{"id":"2210.03493","title":"Automatic Chain of Thought Prompting in Large Language Models","created":"2022-10-07","cited_by_count":688,"area":"lr"},{"id":"2309.16797","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","created":"2023-09-28","cited_by_count":551,"area":"lr"},{"id":"2302.07842","title":"Augmented Language Models: a Survey","created":"2023-02-15","cited_by_count":403,"area":"lr"},{"id":"2210.00720","title":"Complexity-Based Prompting for Multi-Step Reasoning","created":"2022-10-03","cited_by_count":388,"area":"lr"},{"id":"2209.14610","title":"Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning","created":"2022-09-29","cited_by_count":350,"area":"lr"},{"id":"2210.01240","title":"Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought","created":"2022-10-03","cited_by_count":337,"area":"lr"},{"id":"2307.01928","title":"Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners","created":"2023-07-04","cited_by_count":308,"area":"lr"},{"id":"2212.09597","title":"Reasoning with Language Model Prompting: A Survey","created":"2022-12-19","cited_by_count":252,"area":"lr"},{"id":"2206.02336","title":"Making Large Language Models Better Reasoners with Step-Aware Verifier","created":"2022-06-06","cited_by_count":233,"area":"lr"},{"id":"2205.11822","title":"Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations","created":"2022-05-24","cited_by_count":159,"area":"lr"},{"id":"2304.09797","title":"Progressive-Hint Prompting Improves Reasoning in Large Language Models","created":"2023-04-19","cited_by_count":147,"area":"lr"},{"id":"2401.06805","title":"Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning","created":"2024-01-10","cited_by_count":136,"area":"lr"},{"id":"2212.10535","title":"A Survey of Deep Learning for Mathematical Reasoning","created":"2022-12-20","cited_by_count":124,"area":"lr"},{"id":"2302.12822","title":"Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data","created":"2023-02-24","cited_by_count":119,"area":"lr"},{"id":"2309.17249","title":"Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering","created":"2023-09-29","cited_by_count":94,"area":"lr"},{"id":"2203.08410","title":"Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again","created":"2022-03-16","cited_by_count":83,"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":"2306.06427","title":"Boosting Language Models Reasoning with Chain-of-Knowledge Prompting","created":"2023-06-10","cited_by_count":77,"area":"lr"},{"id":"2406.12753","title":"OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI","created":"2024-06-18","cited_by_count":71,"area":"lr"},{"id":"2404.15522","title":"LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models","created":"2024-04-23","cited_by_count":68,"area":"lr"},{"id":"2212.09095","title":"Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale","created":"2022-12-18","cited_by_count":64,"area":"lr"},{"id":"2305.14825","title":"Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners","created":"2023-05-24","cited_by_count":63,"area":"lr"},{"id":"2310.04959","title":"Towards Better Chain-of-Thought Prompting Strategies: A Survey","created":"2023-10-08","cited_by_count":62,"area":"lr"},{"id":"2305.04835","title":"How Do In-Context Examples Affect Compositional Generalization?","created":"2023-05-08","cited_by_count":51,"area":"lr"},{"id":"2401.06961","title":"CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities","created":"2024-01-13","cited_by_count":44,"area":"lr"},{"id":"2305.14497","title":"Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement","created":"2023-05-23","cited_by_count":43,"area":"lr"},{"id":"2410.23856","title":"Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?","created":"2024-10-31","cited_by_count":41,"area":"lr"},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"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":"2310.07712","title":"Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models","created":"2023-10-11","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":"2403.02738","title":"Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment","created":"2024-03-05","cited_by_count":30,"area":"lr"},{"id":"2311.11123","title":"(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs","created":"2023-11-18","cited_by_count":23,"area":"lr"},{"id":"2310.08395","title":"Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation","created":"2023-10-12","cited_by_count":21,"area":"lr"},{"id":"2502.00330","title":"From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation","created":"2025-02-01","cited_by_count":21,"area":"lr"},{"id":"2311.08154","title":"Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios","created":"2023-11-14","cited_by_count":18,"area":"lr"},{"id":"2310.05861","title":"Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models","created":"2023-10-09","cited_by_count":14,"area":"lr"},{"id":"2401.01974","title":"Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers","created":"2024-01-03","cited_by_count":14,"area":"lr"},{"id":"2504.09479","title":"Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation","created":"2025-04-13","cited_by_count":14,"area":"lr"},{"id":"2505.02322","title":"HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking","created":"2025-05-05","cited_by_count":14,"area":"lr"},{"id":"2501.13766","title":"UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models","created":"2025-01-23","cited_by_count":13,"area":"lr"},{"id":"2412.09722","title":"GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers","created":"2024-12-12","cited_by_count":12,"area":"lr"},{"id":"2306.03799","title":"Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models","created":"2023-06-06","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":"2306.07536","title":"TART: A plug-and-play Transformer module for task-agnostic reasoning","created":"2023-06-13","cited_by_count":10,"area":"lr"},{"id":"2504.02181","title":"A Survey of Scaling in Large Language Model Reasoning","created":"2025-04-02","cited_by_count":10,"area":"lr"},{"id":"2402.07757","title":"Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model","created":"2024-02-12","cited_by_count":9,"area":"lr"},{"id":"2405.11120","title":"Latent State Estimation Helps UI Agents to Reason","created":"2024-05-17","cited_by_count":9,"area":"lr"},{"id":"2505.14412","title":"PRL: Prompts from Reinforcement Learning","created":"2025-05-20","cited_by_count":9,"area":"lr"},{"id":"2505.20630","title":"SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis","created":"2025-05-27","cited_by_count":8,"area":"lr"},{"id":"2506.07936","title":"Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models","created":"2025-06-09","cited_by_count":8,"area":"lr"},{"id":"2212.01692","title":"Can In-context Learners Learn a Reasoning Concept from Demonstrations?","created":"2022-12-03","cited_by_count":7,"area":"lr"},{"id":"2411.01101","title":"Self-Consistency Falls Short! The Adverse Effects of Positional Bias on Long-Context Problems","created":"2024-11-02","cited_by_count":7,"area":"lr"},{"id":"2503.09620","title":"Exploiting Edited Large Language Models as General Scientific Optimizers","created":"2025-03-08","cited_by_count":7,"area":"lr"},{"id":"2412.02906","title":"Does Few-Shot Learning Help LLM Performance in Code Synthesis?","created":"2024-12-03","cited_by_count":6,"area":"lr"},{"id":"2503.02670","title":"Multidimensional Consistency Improves Reasoning in Language Models","created":"2025-03-04","cited_by_count":6,"area":"lr"},{"id":"2212.08686","title":"Evaluating Step-by-Step Reasoning through Symbolic Verification","created":"2022-12-16","cited_by_count":5,"area":"lr"},{"id":"2410.03122","title":"RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning","created":"2024-10-04","cited_by_count":5,"area":"lr"},{"id":"2506.21590","title":"Representation Consistency for Accurate and Coherent LLM Answer Aggregation","created":"2025-06-18","cited_by_count":5,"area":"lr"},{"id":"2309.16938","title":"\"I'd Like to Have an Argument, Please\": Argumentative Reasoning in Large Language Models","created":"2023-09-29","cited_by_count":4,"area":"lr"},{"id":"2402.17971","title":"All in an Aggregated Image for In-Image Learning","created":"2024-02-28","cited_by_count":4,"area":"lr"},{"id":"2410.21728","title":"Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models","created":"2024-10-29","cited_by_count":4,"area":"lr"},{"id":"2603.16737","title":"Retrieving Counterfactuals Improves Visual In-Context Learning","created":"2026-03-17","cited_by_count":4,"area":"lr"},{"id":"2603.20640","title":"Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention","created":"2026-03-21","cited_by_count":4,"area":"lr"},{"id":"2604.01170","title":"Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning","created":"2026-04-01","cited_by_count":4,"area":"lr"},{"id":"2409.16383","title":"RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example Augmentation","created":"2024-09-24","cited_by_count":3,"area":"lr"},{"id":"2410.03062","title":"Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks","created":"2024-10-04","cited_by_count":3,"area":"lr"},{"id":"2501.08641","title":"Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations","created":"2025-01-15","cited_by_count":3,"area":"lr"},{"id":"2603.13173","title":"Semantic Invariance in Agentic AI","created":"2026-03-13","cited_by_count":3,"area":"lr"},{"id":"2311.13538","title":"AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations","created":"2023-11-22","cited_by_count":2,"area":"lr"},{"id":"2402.15764","title":"Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models","created":"2024-02-24","cited_by_count":2,"area":"lr"},{"id":"2412.04291","title":"Evolutionary Pre-Prompt Optimization for Mathematical Reasoning","created":"2024-12-05","cited_by_count":2,"area":"lr"},{"id":"2502.06487","title":"Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection","created":"2025-02-10","cited_by_count":2,"area":"lr"},{"id":"2509.02093","title":"Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization","created":"2025-09-02","cited_by_count":2,"area":"lr"},{"id":"2602.00723","title":"Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity","created":"2026-01-31","cited_by_count":2,"area":"lr"},{"id":"2408.08869","title":"PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplars","created":"2024-08-16","cited_by_count":1,"area":"lr"},{"id":"2511.19557","title":"Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment","created":"2025-11-24","cited_by_count":1,"area":"lr"},{"id":"2604.07801","title":"TEMPER: Testing Emotional Perturbation in Quantitative Reasoning","created":"2026-04-09","cited_by_count":1,"area":"lr"},{"id":"2606.01042","title":"Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation Reasoning","created":"2026-05-31","cited_by_count":1,"area":"lr"},{"id":"2608.25100","title":"Towards Reliable, Generalizable, and Specific In-Context Knowledge Editing via Multi-Objective Reinforcement Learning","created":"2026-08-25","cited_by_count":1,"area":"lr"},{"id":"2411.02864","title":"Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning","created":"2024-11-05","cited_by_count":0,"area":"lr"},{"id":"2411.14479","title":"GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning","created":"2024-11-19","cited_by_count":0,"area":"lr"},{"id":"2510.17598","title":"Reasoning Distillation and Structural Alignment for Improved Code Generation","created":"2025-10-20","cited_by_count":0,"area":"lr"},{"id":"2602.10816","title":"Beyond Confidence: The Rhythms of Reasoning in Generative Models","created":"2026-02-11","cited_by_count":0,"area":"lr"},{"id":"2604.10034","title":"AI Achieves a Perfect LSAT Score","created":"2026-04-11","cited_by_count":0,"area":"lr"},{"id":"2604.18612","title":"Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models","created":"2026-04-14","cited_by_count":0,"area":"lr"},{"id":"2604.27540","title":"In-Context Examples Suppress Scientific Knowledge Recall in LLMs","created":"2026-04-30","cited_by_count":0,"area":"lr"},{"id":"2605.14443","title":"Prompting Policies for Multi-step Reasoning and Tool-Use in Black-box LLMs with Iterative Distillation of Experience","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2606.24937","title":"The Hitchhiker's Guide to Agentic AI: From Foundations to Systems","created":"2026-06-22","cited_by_count":0,"area":"lr"},{"id":"2608.05166","title":"Conditional Cognitive Biases in LLMs: How Biased User Turns Modulate In-Context Reasoning","created":"2026-05-26","cited_by_count":0,"area":"lr"},{"id":"2608.27919","title":"From Documents to Reasoning: A Validated Synthetic Data Pipeline and Semantic-Aware Fine-Tuning for Financial Numerical Reasoning","created":"2026-08-28","cited_by_count":0,"area":"lr"},{"id":"2609.13948","title":"Thought without systematicity? Evaluating reasoning models on rule induction tasks","created":"2026-09-12","cited_by_count":0,"area":"lr"},{"id":"2610.00437","title":"JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.03329","title":"SyntaxBench: A Statistical Diagnostic Framework for Character-Level Reasoning in Large Language Models","created":"2026-10-02","cited_by_count":0,"area":"lr"}],"next_cursor":null}