{"total":29,"rows":[{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2310.19736","title":"Evaluating Large Language Models: A Comprehensive Survey","created":"2023-10-30","cited_by_count":202,"area":null},{"id":"2404.14851","title":"From Matching to Generation: A Survey on Generative Information Retrieval","created":"2024-04-23","cited_by_count":89,"area":null},{"id":"2407.20183","title":"MindSearch: Mimicking Human Minds Elicits Deep AI Searcher","created":"2024-07-29","cited_by_count":66,"area":null},{"id":"2401.16467","title":"ReGAL: Refactoring Programs to Discover Generalizable Abstractions","created":"2024-01-29","cited_by_count":36,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2402.16671","title":"StructLM: Towards Building Generalist Models for Structured Knowledge Grounding","created":"2024-02-26","cited_by_count":29,"area":null},{"id":"2407.09886","title":"Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation","created":"2024-07-13","cited_by_count":27,"area":null},{"id":"2312.07622","title":"Mathematical Language Models: A Survey","created":"2023-12-12","cited_by_count":24,"area":null},{"id":"2510.08439","title":"xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning","created":"2025-10-09","cited_by_count":17,"area":null},{"id":"2411.00412","title":"Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation","created":"2024-11-01","cited_by_count":7,"area":null},{"id":"2605.24117","title":"SkillEvolBench: Benchmarking the Evolution from Episodic Experience to Procedural Skills","created":"2026-05-22","cited_by_count":5,"area":null},{"id":"2410.22370","title":"Survey of User Interface Design and Interaction Techniques in Generative AI Applications","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2603.05578","title":"Tool-Genesis: A Task-Driven Tool Creation Benchmark for Self-Evolving Language Agent","created":"2026-03-05","cited_by_count":4,"area":null},{"id":"2502.14848","title":"GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks","created":"2025-02-20","cited_by_count":3,"area":null},{"id":"2504.21625","title":"Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following Capability","created":"2025-04-30","cited_by_count":3,"area":null},{"id":"2606.26669","title":"SKILL-DISCO: Distilling and Compiling Agent Traces into Reusable Procedural Skills","created":"2026-06-25","cited_by_count":3,"area":null},{"id":"2404.11276","title":"Towards Data-Centric Automatic R&D","created":"2024-04-17","cited_by_count":2,"area":null},{"id":"2507.22069","title":"A Compute-Matched Re-Evaluation of TroVE on MATH","created":"2025-07-16","cited_by_count":2,"area":null},{"id":"2510.21999","title":"Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2604.00392","title":"Beyond Task Completion: A Verification-vs.-Conformance Gap in Tool-Evolving Agents","created":"2026-04-01","cited_by_count":1,"area":null},{"id":"2605.09192","title":"Evidence Over Plans: Online Trajectory Verification for Skill Distillation","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2607.17751","title":"MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking","created":"2026-07-20","cited_by_count":1,"area":null},{"id":"2608.14944","title":"SkillComposer: Learning Reusable Skills for Natural-Language Robot Programming","created":"2026-08-14","cited_by_count":1,"area":null},{"id":"2609.39148","title":"Do Self-Evolving Skills Generalize to Held-Out Tasks?","created":"2026-09-30","cited_by_count":1,"area":null},{"id":"2609.19664","title":"VideoResearcher: Self-Improving Tool Design for Long-Video Understanding","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.36730","title":"Can Agents Design Libraries for Agents?","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.17370","title":"HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.17740","title":"Coupled Harness--Model Evolution for Scientific Equation Discovery","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}