{"total":153,"rows":[{"id":"2305.15334","title":"Gorilla: Large Language Model Connected with Massive APIs","created":"2023-05-24","cited_by_count":1332,"area":"lr"},{"id":"2406.00515","title":"A Survey on Large Language Models for Code Generation","created":"2024-06-01","cited_by_count":658,"area":null},{"id":"2405.06211","title":"A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models","created":"2024-05-10","cited_by_count":452,"area":"rag"},{"id":"2309.02427","title":"Cognitive Architectures for Language Agents","created":"2023-09-05","cited_by_count":429,"area":"agents"},{"id":"2306.15626","title":"LeanDojo: Theorem Proving with Retrieval-Augmented Language Models","created":"2023-06-27","cited_by_count":427,"area":"rag"},{"id":"2402.19473","title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey","created":"2024-02-29","cited_by_count":354,"area":"rag"},{"id":"2602.12670","title":"SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks","created":"2026-02-13","cited_by_count":315,"area":"agents"},{"id":"2309.01431","title":"Benchmarking Large Language Models in Retrieval-Augmented Generation","created":"2023-09-04","cited_by_count":312,"area":"rag"},{"id":"2304.08354","title":"Tool Learning with Foundation Models","created":"2023-04-17","cited_by_count":302,"area":"agents"},{"id":"2311.00176","title":"ChipNeMo: Domain-Adapted LLMs for Chip Design","created":"2023-10-31","cited_by_count":174,"area":null},{"id":"2309.11489","title":"Text2Reward: Reward Shaping with Language Models for Reinforcement Learning","created":"2023-09-20","cited_by_count":160,"area":"alignment"},{"id":"2404.00610","title":"RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation","created":"2024-03-31","cited_by_count":147,"area":"rag"},{"id":"2310.12963","title":"AutoMix: Automatically Mixing Language Models","created":"2023-10-19","cited_by_count":125,"area":null},{"id":"2302.05527","title":"CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code","created":"2023-02-10","cited_by_count":102,"area":null},{"id":"2406.13629","title":"InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales","created":"2024-06-19","cited_by_count":101,"area":"rag"},{"id":"2406.14497","title":"CodeRAG-Bench: Can Retrieval Augment Code Generation?","created":"2024-06-20","cited_by_count":91,"area":"rag"},{"id":"2303.10868","title":"Retrieving Multimodal Information for Augmented Generation: A Survey","created":"2023-03-20","cited_by_count":85,"area":null},{"id":"2403.05313","title":"RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation","created":"2024-03-08","cited_by_count":75,"area":"lr"},{"id":"2403.03187","title":"Reliable, Adaptable, and Attributable Language Models with Retrieval","created":"2024-03-05","cited_by_count":73,"area":"rag"},{"id":"2404.10952","title":"Can Language Models Solve Olympiad Programming?","created":"2024-04-16","cited_by_count":72,"area":null},{"id":"2308.00675","title":"Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models","created":"2023-08-01","cited_by_count":68,"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":"2212.10007","title":"CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context","created":"2022-12-20","cited_by_count":65,"area":null},{"id":"2408.08067","title":"RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation","created":"2024-08-15","cited_by_count":61,"area":"rag"},{"id":"2409.09030","title":"Agents in Software Engineering: Survey, Landscape, and Vision","created":"2024-09-13","cited_by_count":60,"area":"agents"},{"id":"2504.09795","title":"VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents","created":"2025-04-14","cited_by_count":59,"area":"rag"},{"id":"2403.09032","title":"CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences","created":"2024-03-14","cited_by_count":57,"area":"alignment"},{"id":"2403.10059","title":"Repoformer: Selective Retrieval for Repository-Level Code Completion","created":"2024-03-15","cited_by_count":55,"area":"rag"},{"id":"2403.15452","title":"What Are Tools Anyway? A Survey from the Language Model Perspective","created":"2024-03-18","cited_by_count":54,"area":null},{"id":"2306.02907","title":"SelfEvolve: A Code Evolution Framework via Large Language Models","created":"2023-06-05","cited_by_count":43,"area":null},{"id":"2409.15637","title":"Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale","created":"2024-09-24","cited_by_count":43,"area":"agents"},{"id":"2306.07075","title":"Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence","created":"2023-06-12","cited_by_count":42,"area":null},{"id":"2409.06857","title":"What is the Role of Small Models in the LLM Era: A Survey","created":"2024-09-10","cited_by_count":41,"area":null},{"id":"2306.10998","title":"RepoFusion: Training Code Models to Understand Your Repository","created":"2023-06-19","cited_by_count":40,"area":null},{"id":"2312.03815","title":"LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem","created":"2023-12-06","cited_by_count":38,"area":"agents"},{"id":"2507.17773","title":"MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation","created":"2025-07-20","cited_by_count":38,"area":null},{"id":"2410.06209","title":"LeanAgent: Lifelong Learning for Formal Theorem Proving","created":"2024-10-08","cited_by_count":35,"area":"lr"},{"id":"2411.12644","title":"CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval","created":"2024-11-19","cited_by_count":34,"area":null},{"id":"2308.10462","title":"Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models","created":"2023-08-21","cited_by_count":28,"area":null},{"id":"2410.22832","title":"HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models","created":"2024-10-30","cited_by_count":27,"area":"rag"},{"id":"2503.20589","title":"What to Retrieve for Effective Retrieval-Augmented Code Generation? An Empirical Study and Beyond","created":"2025-03-26","cited_by_count":22,"area":"rag"},{"id":"2407.09726","title":"On Mitigating Code LLM Hallucinations with API Documentation","created":"2024-07-13","cited_by_count":21,"area":null},{"id":"2306.10763","title":"Guiding Language Models of Code with Global Context using Monitors","created":"2023-06-19","cited_by_count":20,"area":null},{"id":"2406.19783","title":"NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations","created":"2024-06-28","cited_by_count":20,"area":null},{"id":"2407.06249","title":"CodeUpdateArena: Benchmarking Knowledge Editing on API Updates","created":"2024-07-08","cited_by_count":19,"area":null},{"id":"2501.13742","title":"An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities","created":"2025-01-23","cited_by_count":18,"area":"rag"},{"id":"2504.08725","title":"DocAgent: A Multi-Agent System for Automated Code Documentation Generation","created":"2025-04-11","cited_by_count":18,"area":"agents"},{"id":"2212.09885","title":"Python Code Generation by Asking Clarification Questions","created":"2022-12-19","cited_by_count":17,"area":null},{"id":"2308.05361","title":"WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine","created":"2023-08-10","cited_by_count":17,"area":null},{"id":"2412.20810","title":"TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting","created":"2024-12-30","cited_by_count":17,"area":"rag"},{"id":"2306.14583","title":"Exploring the Robustness of Large Language Models for Solving Programming Problems","created":"2023-06-26","cited_by_count":16,"area":null},{"id":"2506.06151","title":"Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems","created":"2025-06-06","cited_by_count":16,"area":"rag"},{"id":"2309.01940","title":"CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models","created":"2023-09-05","cited_by_count":15,"area":null},{"id":"2407.05138","title":"Are LLMs Correctly Integrated into Software Systems?","created":"2024-07-06","cited_by_count":15,"area":"rag"},{"id":"2407.01972","title":"MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation","created":"2024-07-02","cited_by_count":13,"area":"rag"},{"id":"2502.15359","title":"ARS: Automatic Routing Solver with Large Language Models","created":"2025-02-21","cited_by_count":13,"area":null},{"id":"2506.00894","title":"CODEMENV: Benchmarking Large Language Models on Code Migration","created":"2025-06-01","cited_by_count":13,"area":null},{"id":"2404.01617","title":"Designing Network Algorithms via Large Language Models","created":"2024-04-02","cited_by_count":12,"area":null},{"id":"2407.12982","title":"Retrieval-Enhanced Machine Learning: Synthesis and Opportunities","created":"2024-07-17","cited_by_count":11,"area":null},{"id":"2402.19431","title":"Compositional API Recommendation for Library-Oriented Code Generation","created":"2024-02-29","cited_by_count":10,"area":null},{"id":"2409.15204","title":"RAMBO: Enhancing RAG-based Repository-Level Method Body Completion","created":"2024-09-23","cited_by_count":10,"area":null},{"id":"2409.15895","title":"Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation","created":"2024-09-24","cited_by_count":10,"area":"rag"},{"id":"2410.04753","title":"ImProver: Agent-Based Automated Proof Optimization","created":"2024-10-07","cited_by_count":10,"area":"agents"},{"id":"2410.13610","title":"MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling","created":"2024-10-17","cited_by_count":10,"area":"agents"},{"id":"2504.08734","title":"Towards an Understanding of Context Utilization in Code Intelligence","created":"2025-04-11","cited_by_count":10,"area":null},{"id":"2505.18583","title":"The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems","created":"2025-05-24","cited_by_count":10,"area":"rag"},{"id":"2506.10948","title":"Execution Guided Line-by-Line Code Generation","created":"2025-06-12","cited_by_count":10,"area":null},{"id":"2410.07589","title":"No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users","created":"2024-10-10","cited_by_count":9,"area":"rag"},{"id":"2503.04790","title":"SuperRAG: Beyond RAG with Layout-Aware Graph Modeling","created":"2025-02-28","cited_by_count":9,"area":"rag"},{"id":"2506.11063","title":"Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation","created":"2025-05-30","cited_by_count":9,"area":"rag"},{"id":"2508.11425","title":"Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments","created":"2025-08-15","cited_by_count":9,"area":"agents"},{"id":"2403.13583","title":"CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing","created":"2024-03-20","cited_by_count":8,"area":null},{"id":"2405.19581","title":"Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases","created":"2024-05-30","cited_by_count":8,"area":null},{"id":"2406.12276","title":"CodeNav: Beyond tool-use to using real-world codebases with LLM agents","created":"2024-06-18","cited_by_count":8,"area":"agents"},{"id":"2503.01642","title":"Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning","created":"2025-03-03","cited_by_count":8,"area":"lr"},{"id":"2308.04033","title":"Adapting Foundation Models for Information Synthesis of Wireless Communication Specifications","created":"2023-08-08","cited_by_count":7,"area":null},{"id":"2411.19463","title":"Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems","created":"2024-11-29","cited_by_count":7,"area":"rag"},{"id":"2507.23096","title":"ChatVis: Large Language Model Agent for Generating Scientific Visualizations","created":"2025-07-30","cited_by_count":7,"area":"agents"},{"id":"2510.18204","title":"RESCUE: Retrieval Augmented Secure Code Generation","created":"2025-10-21","cited_by_count":7,"area":"rag"},{"id":"2601.19697","title":"AlignCoder: Aligning Retrieval with Target Intent for Repository-Level Code Completion","created":"2026-01-27","cited_by_count":7,"area":null},{"id":"2406.10289","title":"VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning","created":"2024-06-12","cited_by_count":6,"area":null},{"id":"2407.12871","title":"MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation","created":"2024-07-15","cited_by_count":6,"area":"agents"},{"id":"2410.07356","title":"Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models","created":"2024-10-09","cited_by_count":6,"area":"rag"},{"id":"2508.05534","title":"CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation","created":"2025-08-07","cited_by_count":6,"area":null},{"id":"2509.03787","title":"Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain","created":"2025-09-04","cited_by_count":6,"area":"rag"},{"id":"2603.27277","title":"Codebase-Memory: Tree-Sitter-Based Knowledge Graphs for LLM Code Exploration via MCP","created":"2026-03-28","cited_by_count":6,"area":"agents"},{"id":"2401.02993","title":"ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion","created":"2024-01-04","cited_by_count":5,"area":null},{"id":"2403.00884","title":"Zero-Shot Topic Classification of Column Headers: Leveraging LLMs for Metadata Enrichment","created":"2024-03-01","cited_by_count":5,"area":null},{"id":"2410.16229","title":"Building A Coding Assistant via the Retrieval-Augmented Language Model","created":"2024-10-21","cited_by_count":5,"area":"rag"},{"id":"2503.06791","title":"AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot","created":"2025-03-09","cited_by_count":5,"area":"agents"},{"id":"2607.25996","title":"RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models","created":"2026-07-28","cited_by_count":5,"area":"lr"},{"id":"2406.00037","title":"Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering","created":"2024-05-27","cited_by_count":4,"area":"alignment"},{"id":"2410.07793","title":"Do Current Language Models Support Code Intelligence for R Programming Language?","created":"2024-10-10","cited_by_count":4,"area":null},{"id":"2410.18251","title":"Context-Augmented Code Generation Using Programming Knowledge Graphs","created":"2024-10-09","cited_by_count":4,"area":null},{"id":"2606.22082","title":"CodeTeam: An LLM-Powered Multi-Agent Framework for Repository-Level Code Generation","created":"2026-06-20","cited_by_count":4,"area":"agents"},{"id":"2305.13504","title":"Neural Machine Translation for Code Generation","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2311.07957","title":"Language Models are Better Bug Detector Through Code-Pair Classification","created":"2023-11-14","cited_by_count":3,"area":null},{"id":"2312.00024","title":"Can LLMs Patch Security Issues?","created":"2023-11-13","cited_by_count":3,"area":null},{"id":"2506.03535","title":"Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation","created":"2025-06-04","cited_by_count":3,"area":"rag"},{"id":"2506.16552","title":"Revela: Dense Retriever Learning via Language Modeling","created":"2025-06-19","cited_by_count":3,"area":null}],"next_cursor":"100"}