{"total":65,"rows":[{"id":"2309.16797","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","created":"2023-09-28","cited_by_count":551,"area":"lr"},{"id":"2402.07872","title":"PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs","created":"2024-02-12","cited_by_count":190,"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":"2601.12538","title":"A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents","created":"2026-01-18","cited_by_count":50,"area":"lr"},{"id":"2309.06553","title":"Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL","created":"2023-09-13","cited_by_count":37,"area":"lr"},{"id":"2502.06855","title":"Self-Supervised Prompt Optimization","created":"2025-02-07","cited_by_count":37,"area":"lr"},{"id":"2403.02054","title":"Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism","created":"2024-03-04","cited_by_count":27,"area":"lr"},{"id":"2310.07088","title":"Diversity of Thought Improves Reasoning Abilities of LLMs","created":"2023-10-11","cited_by_count":25,"area":"lr"},{"id":"2402.11140","title":"Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models","created":"2024-02-17","cited_by_count":22,"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":"2402.16929","title":"LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language","created":"2024-02-26","cited_by_count":12,"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":"2405.16337","title":"Learning to Reason via Program Generation, Emulation, and Search","created":"2024-05-25","cited_by_count":10,"area":"lr"},{"id":"2511.01016","title":"Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning","created":"2025-11-02","cited_by_count":10,"area":"lr"},{"id":"2505.14412","title":"PRL: Prompts from Reinforcement Learning","created":"2025-05-20","cited_by_count":9,"area":"lr"},{"id":"2503.13413","title":"DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective","created":"2025-03-17","cited_by_count":8,"area":"lr"},{"id":"2601.04055","title":"Modular Prompt Optimization: Optimizing Structured Prompts with Section-Local Textual Gradients","created":"2026-01-07","cited_by_count":8,"area":"lr"},{"id":"2401.05787","title":"Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning","created":"2024-01-11","cited_by_count":7,"area":"lr"},{"id":"2504.07357","title":"Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction","created":"2025-04-10","cited_by_count":6,"area":"lr"},{"id":"2603.21728","title":"EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning","created":"2026-03-23","cited_by_count":6,"area":"lr"},{"id":"2409.14469","title":"Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints","created":"2024-09-22","cited_by_count":5,"area":"lr"},{"id":"2603.04948","title":"$\\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space","created":"2026-03-05","cited_by_count":5,"area":"lr"},{"id":"2604.06699","title":"Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs","created":"2026-04-08","cited_by_count":5,"area":"lr"},{"id":"2410.10584","title":"STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack","created":"2024-10-14","cited_by_count":4,"area":"lr"},{"id":"2410.11877","title":"A Framework for Collaborating a Large Language Model Tool in Brainstorming for Triggering Creative Thoughts","created":"2024-10-10","cited_by_count":4,"area":"lr"},{"id":"2508.04660","title":"Composing Policy Gradients and Prompt Optimization for Language Model Programs","created":"2025-08-06","cited_by_count":4,"area":"lr"},{"id":"2509.24147","title":"Your thoughts tell who you are: Characterize the reasoning patterns of LRMs","created":"2025-09-29","cited_by_count":4,"area":"lr"},{"id":"2510.21148","title":"How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation","created":"2025-10-24","cited_by_count":4,"area":"lr"},{"id":"2603.01692","title":"Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search","created":"2026-03-02","cited_by_count":4,"area":"lr"},{"id":"2410.12464","title":"Exploring LLM Cryptocurrency Trading Through Fact-Subjectivity Aware Reasoning","created":"2024-10-16","cited_by_count":3,"area":"lr"},{"id":"2504.07104","title":"Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking","created":"2025-03-14","cited_by_count":3,"area":"lr"},{"id":"2506.08669","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","created":"2025-06-10","cited_by_count":3,"area":"lr"},{"id":"2512.01945","title":"Agentic Policy Optimization via Instruction-Policy Co-Evolution","created":"2025-12-01","cited_by_count":3,"area":"lr"},{"id":"2602.21103","title":"Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning","created":"2026-02-24","cited_by_count":3,"area":"lr"},{"id":"2507.18618","title":"TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards","created":"2025-07-24","cited_by_count":2,"area":"lr"},{"id":"2508.21762","title":"Reasoning-Intensive Regression","created":"2025-08-29","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":"2509.21284","title":"Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond","created":"2025-09-25","cited_by_count":2,"area":"lr"},{"id":"2511.12008","title":"Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models","created":"2025-11-15","cited_by_count":2,"area":"lr"},{"id":"2602.10246","title":"KORAL: Knowledge Graph Guided LLM Reasoning for SSD Operational Analysis","created":"2026-02-10","cited_by_count":2,"area":"lr"},{"id":"2309.15074","title":"Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial","created":"2023-09-24","cited_by_count":1,"area":"lr"},{"id":"2503.23503","title":"Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models","created":"2025-03-30","cited_by_count":1,"area":"lr"},{"id":"2601.07293","title":"Inference-Time Scaling for Visual AutoRegressive modeling by Searching Representative Samples","created":"2026-01-12","cited_by_count":1,"area":"lr"},{"id":"2407.12877","title":"ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models","created":"2024-07-16","cited_by_count":0,"area":"lr"},{"id":"2508.16741","title":"WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning","created":"2025-08-22","cited_by_count":0,"area":"lr"},{"id":"2509.25196","title":"APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning","created":"2025-08-29","cited_by_count":0,"area":"lr"},{"id":"2512.06653","title":"LightSearcher: Efficient DeepSearch via Experiential Memory","created":"2025-12-07","cited_by_count":0,"area":"lr"},{"id":"2512.10561","title":"Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models","created":"2025-12-11","cited_by_count":0,"area":"lr"},{"id":"2512.19247","title":"Auto-Prompting with Retrieval Guidance for Frame Detection in Logistics","created":"2025-12-22","cited_by_count":0,"area":"lr"},{"id":"2601.09459","title":"Dissecting Judicial Reasoning in U.S. Copyright Damage Awards","created":"2026-01-14","cited_by_count":0,"area":"lr"},{"id":"2602.16702","title":"Saliency-Aware Multi-Route Thinking: Revisiting Vision-Language Reasoning","created":"2026-02-18","cited_by_count":0,"area":"lr"},{"id":"2604.06205","title":"Tool-MCoT: Tool Augmented Multimodal Chain-of-Thought for Content Safety Moderation","created":"2026-03-15","cited_by_count":0,"area":"lr"},{"id":"2604.12651","title":"Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs","created":"2026-04-14","cited_by_count":0,"area":"lr"},{"id":"2604.14214","title":"CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization","created":"2026-04-08","cited_by_count":0,"area":"lr"},{"id":"2604.17450","title":"Compiling Deterministic Structure into SLM Harnesses","created":"2026-04-19","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":"2605.29076","title":"Structured Prompt Optimization Meets Reinforcement Learning for Global and Local Interpretability over Complex Text","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2606.00532","title":"KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning","created":"2026-05-30","cited_by_count":0,"area":"lr"},{"id":"2606.29639","title":"Two-Stage Prompt Optimization for Few-Shot Relation Extraction: From Reasoning-Guided Search to Gradient-Guided Refinement","created":"2026-06-28","cited_by_count":0,"area":"lr"},{"id":"2609.04865","title":"CoSkill: Joint Reinforcement Learning of Reasoning and Meta-Skill Agents for Hierarchical Skill Evolution","created":"2026-09-04","cited_by_count":0,"area":"lr"},{"id":"2609.06438","title":"InsightChain: Optimized Chain-of-Insight Analytics for LLM-driven Data Visualization","created":"2026-09-06","cited_by_count":0,"area":"lr"},{"id":"2609.33379","title":"NLPG: Natural-Language Policy Gradients for Self-Evolving Language Agents","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2610.04725","title":"Verb-ICL: Rethinking In-Context Learning for Structured Prediction","created":"2026-10-03","cited_by_count":0,"area":"lr"},{"id":"2610.18216","title":"TextualRL: Textual Reinforcement Learning for Context Management","created":"2026-10-13","cited_by_count":0,"area":"lr"},{"id":"2610.20221","title":"Scaling Multilingual Safety and Reasoning Evaluation through Reasoning-Guided Translation","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}