{"total":39,"rows":[{"id":"2406.01297","title":"When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs","created":"2024-06-03","cited_by_count":240,"area":null},{"id":"2506.05606","title":"OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation","created":"2025-06-05","cited_by_count":28,"area":null},{"id":"2410.11163","title":"Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence","created":"2024-10-15","cited_by_count":27,"area":null},{"id":"2503.04104","title":"LLMs Can Generate a Better Answer by Aggregating Their Own Responses","created":"2025-03-06","cited_by_count":27,"area":null},{"id":"2409.06289","title":"Automate Strategy Finding with LLM in Quant Investment","created":"2024-09-10","cited_by_count":26,"area":null},{"id":"2410.02428","title":"Collective Critics for Creative Story Generation","created":"2024-10-03","cited_by_count":22,"area":null},{"id":"2405.15604","title":"Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges","created":"2024-05-24","cited_by_count":18,"area":null},{"id":"2406.11514","title":"Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs","created":"2024-06-17","cited_by_count":17,"area":null},{"id":"2409.13884","title":"A Multi-LLM Debiasing Framework","created":"2024-09-20","cited_by_count":10,"area":null},{"id":"2505.16303","title":"INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling","created":"2025-05-22","cited_by_count":8,"area":null},{"id":"2404.11960","title":"MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2408.14575","title":"EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory","created":"2024-08-26","cited_by_count":6,"area":null},{"id":"2503.15235","title":"Exploring Large Language Models for Word Games:Who is the Spy?","created":"2025-03-19","cited_by_count":6,"area":null},{"id":"2412.12564","title":"Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models","created":"2024-12-17","cited_by_count":5,"area":null},{"id":"2505.15068","title":"ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges","created":"2025-05-21","cited_by_count":5,"area":null},{"id":"2507.15025","title":"Survey of GenAI for Automotive Software Development: From Requirements to Executable Code","created":"2025-07-20","cited_by_count":5,"area":null},{"id":"2406.10918","title":"Multi-LLM QA with Embodied Exploration","created":"2024-06-16","cited_by_count":3,"area":null},{"id":"2410.03254","title":"Are Expert-Level Language Models Expert-Level Annotators?","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2412.04859","title":"Breaking Event Rumor Detection via Stance-Separated Multi-Agent Debate","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2505.22695","title":"LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2506.13245","title":"A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2510.06307","title":"Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2512.22337","title":"The Effectiveness of Approximate Regularized Replay for Efficient Supervised Fine-Tuning of Large Language Models","created":"2025-12-26","cited_by_count":2,"area":null},{"id":"2602.23258","title":"MASRubric: Auditing Information Flow in Multi-Agent Systems with Failure-Distilled Pitfall Rubrics","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2605.23917","title":"Multi-Persona Debate System for Automated Scientific Hypothesis Generation","created":"2026-04-14","cited_by_count":2,"area":null},{"id":"2606.30389","title":"Predict, Reuse, and Repair: Accelerating Dynamic Sparse Attention for Long-Context LLM Decoding","created":"2026-06-29","cited_by_count":2,"area":null},{"id":"2410.18209","title":"CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking","created":"2024-10-23","cited_by_count":1,"area":null},{"id":"2606.03544","title":"SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2606.13733","title":"How Task Structure Limits Multi-Agent Success: An Information-Theoretic Analysis","created":"2026-06-11","cited_by_count":1,"area":null},{"id":"2609.38345","title":"OpenCollab: A Multi-Agent Coding Framework with Programmable Collaboration and Controllable Runtime","created":"2026-09-29","cited_by_count":1,"area":null},{"id":"2504.05049","title":"CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation","created":"2025-04-07","cited_by_count":0,"area":null},{"id":"2508.06060","title":"LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferences","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2510.09049","title":"MEC$^3$O: Multi-Expert Consensus for Code Time Complexity Prediction","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2511.18259","title":"DiscoVerse: Multi-Agent Pharmaceutical Co-Scientist for Traceable Drug Discovery and Reverse Translation","created":"2025-11-23","cited_by_count":0,"area":null},{"id":"2512.04488","title":"Persona-based Multi-Agent Collaboration for Brainstorming","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2605.27586","title":"You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.13046","title":"BoardroomAI: Dependency-Aware Human-Steerable Multi-Agent Deliberation through Evolving Decision Graphs","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2608.17051","title":"Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.11109","title":"How AI Coders Discuss, Disagree, and Reach Consensus: Challenges and Opportunities for LLM-Based Qualitative Coding","created":"2026-09-10","cited_by_count":0,"area":null}],"next_cursor":null}