{"total":56,"rows":[{"id":"2310.03714","title":"DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines","created":"2023-10-05","cited_by_count":832,"area":"synth"},{"id":"2305.10142","title":"Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback","created":"2023-05-17","cited_by_count":207,"area":"synth"},{"id":"2305.14483","title":"Language Model Self-improvement by Reinforcement Learning Contemplation","created":"2023-05-23","cited_by_count":75,"area":"synth"},{"id":"2502.11102","title":"OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling","created":"2025-02-16","cited_by_count":49,"area":"synth"},{"id":"2305.15041","title":"Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science","created":"2023-05-24","cited_by_count":37,"area":"synth"},{"id":"2412.02980","title":"Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models","created":"2024-12-04","cited_by_count":35,"area":"synth"},{"id":"2412.06176","title":"AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement","created":"2024-12-09","cited_by_count":35,"area":"synth"},{"id":"2502.01612","title":"Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges","created":"2025-02-03","cited_by_count":31,"area":"synth"},{"id":"2402.03755","title":"QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model","created":"2024-02-06","cited_by_count":30,"area":"synth"},{"id":"2310.13522","title":"Teaching Language Models to Self-Improve through Interactive Demonstrations","created":"2023-10-20","cited_by_count":26,"area":"synth"},{"id":"2404.04298","title":"SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses","created":"2024-04-04","cited_by_count":26,"area":"synth"},{"id":"2506.05109","title":"Truly Self-Improving Agents Require Intrinsic Metacognitive Learning","created":"2025-06-05","cited_by_count":15,"area":"synth"},{"id":"2408.09849","title":"Importance Weighting Can Help Large Language Models Self-Improve","created":"2024-08-19","cited_by_count":12,"area":"synth"},{"id":"2502.03824","title":"Syntriever: How to Train Your Retriever with Synthetic Data from LLMs","created":"2025-02-06","cited_by_count":11,"area":"synth"},{"id":"2605.19576","title":"Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries","created":"2026-05-19","cited_by_count":10,"area":"synth"},{"id":"2410.24105","title":"Matchmaker: Self-Improving Large Language Model Programs for Schema Matching","created":"2024-10-31","cited_by_count":9,"area":"synth"},{"id":"2604.27488","title":"Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO","created":"2026-04-30","cited_by_count":8,"area":"synth"},{"id":"2504.02902","title":"Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models","created":"2025-04-03","cited_by_count":7,"area":"synth"},{"id":"2505.19514","title":"SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback","created":"2025-05-26","cited_by_count":7,"area":"synth"},{"id":"2601.21464","title":"Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation","created":"2026-01-29","cited_by_count":6,"area":"synth"},{"id":"2607.01480","title":"Procedural Memory Distillation: Online Reflection for Self-Improving Language Models","created":"2026-07-01","cited_by_count":6,"area":"synth"},{"id":"2607.01709","title":"COMFYCLAW: Self-Evolving Skill Harnesses for Image Generation Workflows","created":"2026-07-02","cited_by_count":6,"area":"synth"},{"id":"2405.03845","title":"Self-Improving Customer Review Response Generation Based on LLMs","created":"2024-05-06","cited_by_count":5,"area":"synth"},{"id":"2407.05474","title":"Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses","created":"2024-07-07","cited_by_count":5,"area":"synth"},{"id":"2510.16552","title":"LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs","created":"2025-10-18","cited_by_count":5,"area":"synth"},{"id":"2410.15639","title":"Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning","created":"2024-10-21","cited_by_count":4,"area":"synth"},{"id":"2503.02878","title":"Language Models can Self-Improve at State-Value Estimation for Better Search","created":"2025-03-04","cited_by_count":4,"area":"synth"},{"id":"2505.00031","title":"Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving","created":"2025-04-28","cited_by_count":4,"area":"synth"},{"id":"2601.11974","title":"Learn Like Humans: Use Meta-cognitive Reflection for Efficient Self-Improvement","created":"2026-01-17","cited_by_count":4,"area":"synth"},{"id":"2607.24300","title":"Self-Authored Verification Is Unreliable in Heuristic Self-Improving Agents","created":"2026-07-27","cited_by_count":4,"area":"synth"},{"id":"2410.16534","title":"SoftSRV: Learn to Generate Targeted Synthetic Data","created":"2024-10-21","cited_by_count":3,"area":"synth"},{"id":"2502.18517","title":"RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis","created":"2025-02-23","cited_by_count":3,"area":"synth"},{"id":"2502.04511","title":"Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis","created":"2025-02-06","cited_by_count":2,"area":"synth"},{"id":"2505.16927","title":"Latent Principle Discovery for Language Model Self-Improvement","created":"2025-05-22","cited_by_count":2,"area":"synth"},{"id":"2602.05810","title":"Bifrost: Steering Strategic Trajectories to Bridge Contextual Gaps for Self-Improving Agents","created":"2026-02-05","cited_by_count":2,"area":"synth"},{"id":"2605.13369","title":"Query-Conditioned Test-Time Self-Training for Large Language Models","created":"2026-05-13","cited_by_count":2,"area":"synth"},{"id":"2606.08092","title":"When Languages Disagree: Self-Evolving Multilingual LLM Judges","created":"2026-06-06","cited_by_count":2,"area":"synth"},{"id":"2607.04277","title":"Self-Reference in Large Language Models: The Introspection Threshold for Recursive Self-Improvement","created":"2026-07-05","cited_by_count":2,"area":"synth"},{"id":"2608.20290","title":"Phantom Gains: Auditing Self-Improvement Against a Measured Null","created":"2026-08-20","cited_by_count":2,"area":"synth"},{"id":"2503.20715","title":"From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models","created":"2025-03-26","cited_by_count":1,"area":"synth"},{"id":"2601.11776","title":"Cleansing the Artificial Mind: A Self-Reflective Detoxification Framework for Large Language Models","created":"2026-01-16","cited_by_count":1,"area":"synth"},{"id":"2604.16322","title":"Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution","created":"2026-02-27","cited_by_count":1,"area":"synth"},{"id":"2606.28898","title":"PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs","created":"2026-06-27","cited_by_count":1,"area":"synth"},{"id":"2610.04756","title":"When Is Enough Enough in Self-Evolving LLM Systems?","created":"2026-10-03","cited_by_count":1,"area":"synth"},{"id":"2603.20441","title":"A Training-Free Regeneration Paradigm: Contrastive Reflection Memory Guided Self-Verification and Self-Improvement","created":"2026-03-20","cited_by_count":0,"area":"synth"},{"id":"2605.28882","title":"GrowLoop: Self-Evolving Conversation Evaluation Seeded by Human","created":"2026-05-26","cited_by_count":0,"area":"synth"},{"id":"2606.08471","title":"More Yap Less Meaning: Uncovering Self-Improvement Behavior in SLMs","created":"2026-06-07","cited_by_count":0,"area":"synth"},{"id":"2607.12455","title":"EVOQUANT: Self-Evolving Verifier-Guided Strategy Optimization for Robust Quantitative Trading","created":"2026-07-14","cited_by_count":0,"area":"synth"},{"id":"2607.27687","title":"Rehearse: Stepping Back from the Confidence Cliff in Self-Improving Autoresearch","created":"2026-07-30","cited_by_count":0,"area":"synth"},{"id":"2608.10157","title":"SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents","created":"2026-08-10","cited_by_count":0,"area":"synth"},{"id":"2608.17468","title":"SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution","created":"2026-08-18","cited_by_count":0,"area":"synth"},{"id":"2608.28638","title":"Self-Evolving Skills via Surrogate-Guided Solve-and-Reproduce","created":"2026-08-10","cited_by_count":0,"area":"synth"},{"id":"2608.29674","title":"Creation begins with understanding: LLMs as strategy designers for privacy-preserving tabular data synthesis","created":"2026-08-30","cited_by_count":0,"area":"synth"},{"id":"2609.32886","title":"StraTune: Adaptive Selection of Revision Operators for Self-Evolving LLM Skills","created":"2026-09-26","cited_by_count":0,"area":"synth"},{"id":"2609.34279","title":"Direct Self-Evolving Optimization: Evolving LLMs without Challenger Training","created":"2026-09-28","cited_by_count":0,"area":"synth"},{"id":"2609.36750","title":"Group-Marginalized Self-Rewarding RL Drives Zero-Label Self-Evolving","created":"2026-09-29","cited_by_count":0,"area":"synth"}],"next_cursor":null}