{"total":186,"rows":[{"id":"2404.16130","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","created":"2024-04-24","cited_by_count":1453,"area":"rag"},{"id":"2101.06804","title":"What Makes Good In-Context Examples for GPT-$3$?","created":"2021-01-17","cited_by_count":1195,"area":null},{"id":"2305.06983","title":"Active Retrieval Augmented Generation","created":"2023-05-11","cited_by_count":516,"area":"rag"},{"id":"2111.01243","title":"Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey","created":"2021-11-01","cited_by_count":463,"area":null},{"id":"2402.02716","title":"Understanding the planning of LLM agents: A survey","created":"2024-02-05","cited_by_count":421,"area":"agents"},{"id":"2303.12570","title":"RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation","created":"2023-03-22","cited_by_count":367,"area":null},{"id":"2305.15294","title":"Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy","created":"2023-05-24","cited_by_count":346,"area":"rag"},{"id":"2209.10063","title":"Generate rather than Retrieve: Large Language Models are Strong Context Generators","created":"2022-09-21","cited_by_count":298,"area":null},{"id":"2202.06991","title":"Transformer Memory as a Differentiable Search Index","created":"2022-02-14","cited_by_count":247,"area":null},{"id":"2405.16444","title":"CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion","created":"2024-05-26","cited_by_count":223,"area":"inference"},{"id":"2108.05540","title":"Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval","created":"2021-08-12","cited_by_count":203,"area":null},{"id":"2101.00774","title":"Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering","created":"2021-01-04","cited_by_count":178,"area":null},{"id":"2110.07367","title":"RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking","created":"2021-10-14","cited_by_count":176,"area":null},{"id":"2311.05997","title":"JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models","created":"2023-11-10","cited_by_count":171,"area":"agents"},{"id":"2104.08253","title":"Condenser: a Pre-training Architecture for Dense Retrieval","created":"2021-04-16","cited_by_count":162,"area":null},{"id":"2402.14848","title":"Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models","created":"2024-02-19","cited_by_count":152,"area":"lr"},{"id":"2305.13117","title":"AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web","created":"2023-05-22","cited_by_count":144,"area":null},{"id":"2309.14402","title":"Physics of Language Models: Part 3.2, Knowledge Manipulation","created":"2023-09-25","cited_by_count":143,"area":null},{"id":"2409.13740","title":"Language agents achieve superhuman synthesis of scientific knowledge","created":"2024-09-10","cited_by_count":137,"area":"agents"},{"id":"2204.10628","title":"Autoregressive Search Engines: Generating Substrings as Document Identifiers","created":"2022-04-22","cited_by_count":113,"area":null},{"id":"2404.10198","title":"ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence","created":"2024-04-16","cited_by_count":113,"area":"rag"},{"id":"2305.06984","title":"Evaluating Open-Domain Question Answering in the Era of Large Language Models","created":"2023-05-11","cited_by_count":111,"area":null},{"id":"2405.20978","title":"Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training","created":"2024-05-31","cited_by_count":89,"area":"lr"},{"id":"2501.13958","title":"A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models","created":"2025-01-21","cited_by_count":88,"area":"rag"},{"id":"2110.03611","title":"Adversarial Retriever-Ranker for dense text retrieval","created":"2021-10-07","cited_by_count":83,"area":null},{"id":"2312.15503","title":"Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval","created":"2023-12-24","cited_by_count":78,"area":null},{"id":"2310.04027","title":"Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models","created":"2023-10-06","cited_by_count":68,"area":"rag"},{"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":"2407.02883","title":"CoIR: A Comprehensive Benchmark for Code Information Retrieval Models","created":"2024-07-03","cited_by_count":60,"area":null},{"id":"2305.15645","title":"ConvGQR: Generative Query Reformulation for Conversational Search","created":"2023-05-25","cited_by_count":59,"area":null},{"id":"2107.13602","title":"Domain-matched Pre-training Tasks for Dense Retrieval","created":"2021-07-28","cited_by_count":53,"area":null},{"id":"2109.12595","title":"MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents","created":"2021-09-26","cited_by_count":53,"area":null},{"id":"2101.00133","title":"NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned","created":"2021-01-01","cited_by_count":52,"area":null},{"id":"2502.05957","title":"AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents","created":"2025-02-09","cited_by_count":52,"area":"agents"},{"id":"2108.06027","title":"PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval","created":"2021-08-13","cited_by_count":50,"area":null},{"id":"2506.05690","title":"When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation","created":"2025-06-06","cited_by_count":48,"area":"rag"},{"id":"2206.10658","title":"Questions Are All You Need to Train a Dense Passage Retriever","created":"2022-06-21","cited_by_count":47,"area":null},{"id":"2404.01744","title":"Octopus v2: On-device language model for super agent","created":"2024-04-02","cited_by_count":47,"area":"agents"},{"id":"2410.15332","title":"EPIC: Efficient Position-Independent Caching for Serving Large Language Models","created":"2024-10-20","cited_by_count":47,"area":null},{"id":"2306.15222","title":"Learning to Rank in Generative Retrieval","created":"2023-06-27","cited_by_count":46,"area":null},{"id":"2103.08784","title":"LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval","created":"2021-03-16","cited_by_count":44,"area":null},{"id":"2205.09153","title":"ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval","created":"2022-05-18","cited_by_count":41,"area":null},{"id":"2409.14908","title":"KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems","created":"2024-09-23","cited_by_count":39,"area":"agents"},{"id":"2104.05740","title":"A Replication Study of Dense Passage Retriever","created":"2021-04-12","cited_by_count":37,"area":null},{"id":"2109.03502","title":"R2-D2: A Modular Baseline for Open-Domain Question Answering","created":"2021-09-08","cited_by_count":37,"area":null},{"id":"2401.15269","title":"Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models","created":"2024-01-27","cited_by_count":34,"area":"lr"},{"id":"2404.09982","title":"INMS: Memory Sharing for Large Language Model based Agents","created":"2024-04-15","cited_by_count":31,"area":"agents"},{"id":"2505.20099","title":"Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities","created":"2025-05-26","cited_by_count":31,"area":null},{"id":"2410.23850","title":"The Automated Verification of Textual Claims (AVeriTeC) Shared Task","created":"2024-10-31","cited_by_count":29,"area":null},{"id":"2101.00294","title":"Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering","created":"2021-01-01","cited_by_count":28,"area":null},{"id":"2212.10380","title":"What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary","created":"2022-12-20","cited_by_count":28,"area":null},{"id":"2501.06713","title":"MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation","created":"2025-01-12","cited_by_count":28,"area":"rag"},{"id":"2404.19543","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","created":"2024-04-30","cited_by_count":25,"area":"rag"},{"id":"2403.08282","title":"Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation","created":"2024-03-13","cited_by_count":24,"area":"agents"},{"id":"2410.21418","title":"Large Language Models for Manufacturing","created":"2024-10-28","cited_by_count":24,"area":null},{"id":"2402.11827","title":"Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversation","created":"2024-02-19","cited_by_count":23,"area":"alignment"},{"id":"2306.16762","title":"Unified Language Representation for Question Answering over Text, Tables, and Images","created":"2023-06-29","cited_by_count":22,"area":null},{"id":"2109.05289","title":"What's in a Name? Answer Equivalence For Open-Domain Question Answering","created":"2021-09-11","cited_by_count":21,"area":null},{"id":"2207.13450","title":"Skimming, Locating, then Perusing: A Human-Like Framework for Natural Language Video Localization","created":"2022-07-27","cited_by_count":21,"area":null},{"id":"2209.13335","title":"PROD: Progressive Distillation for Dense Retrieval","created":"2022-09-27","cited_by_count":21,"area":null},{"id":"2210.11773","title":"SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval","created":"2022-10-21","cited_by_count":21,"area":null},{"id":"2211.07886","title":"A Survey for Efficient Open Domain Question Answering","created":"2022-11-15","cited_by_count":20,"area":null},{"id":"2504.14891","title":"Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey","created":"2025-04-21","cited_by_count":20,"area":"rag"},{"id":"2305.14583","title":"Natural Language Decompositions of Implicit Content Enable Better Text Representations","created":"2023-05-23","cited_by_count":19,"area":null},{"id":"2404.04619","title":"Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model","created":"2024-04-06","cited_by_count":19,"area":"agents"},{"id":"2411.15041","title":"mR$^2$AG: Multimodal Retrieval-Reflection-Augmented Generation for Knowledge-Based VQA","created":"2024-11-22","cited_by_count":19,"area":"mllm"},{"id":"2112.07381","title":"You Only Need One Model for Open-domain Question Answering","created":"2021-12-14","cited_by_count":17,"area":null},{"id":"2210.05197","title":"Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA","created":"2022-10-11","cited_by_count":17,"area":null},{"id":"2312.01279","title":"TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents","created":"2023-12-03","cited_by_count":17,"area":"lr"},{"id":"2401.04514","title":"Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search","created":"2024-01-09","cited_by_count":17,"area":null},{"id":"2208.07670","title":"ConTextual Masked Auto-Encoder for Dense Passage Retrieval","created":"2022-08-16","cited_by_count":16,"area":null},{"id":"2305.16675","title":"Multiview Identifiers Enhanced Generative Retrieval","created":"2023-05-26","cited_by_count":16,"area":null},{"id":"2203.10232","title":"DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine","created":"2022-03-19","cited_by_count":15,"area":null},{"id":"2305.17080","title":"Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering","created":"2023-05-26","cited_by_count":15,"area":null},{"id":"2408.13808","title":"Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models","created":"2024-08-25","cited_by_count":15,"area":null},{"id":"2507.21585","title":"SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation","created":"2025-07-29","cited_by_count":15,"area":"mllm"},{"id":"2312.11036","title":"UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models","created":"2023-12-18","cited_by_count":14,"area":null},{"id":"2412.16708","title":"Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks","created":"2024-12-21","cited_by_count":14,"area":"rag"},{"id":"2502.02464","title":"Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation","created":"2025-02-04","cited_by_count":13,"area":"rag"},{"id":"2502.07912","title":"Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning","created":"2025-02-11","cited_by_count":13,"area":"lr"},{"id":"2405.18208","title":"A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models","created":"2024-05-28","cited_by_count":12,"area":"lr"},{"id":"2410.19218","title":"Taxonomy-guided Semantic Indexing for Academic Paper Search","created":"2024-10-25","cited_by_count":12,"area":null},{"id":"2110.08544","title":"Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework","created":"2021-10-16","cited_by_count":11,"area":null},{"id":"2207.06220","title":"Improving Wikipedia Verifiability with AI","created":"2022-07-08","cited_by_count":11,"area":null},{"id":"2305.07402","title":"Synergistic Interplay between Search and Large Language Models for Information Retrieval","created":"2023-05-12","cited_by_count":11,"area":null},{"id":"2403.04160","title":"Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy","created":"2024-03-07","cited_by_count":11,"area":null},{"id":"2407.12982","title":"Retrieval-Enhanced Machine Learning: Synthesis and Opportunities","created":"2024-07-17","cited_by_count":11,"area":null},{"id":"2409.18110","title":"Open-World Evaluation for Retrieving Diverse Perspectives","created":"2024-09-26","cited_by_count":11,"area":null},{"id":"2502.20317","title":"Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases","created":"2025-02-27","cited_by_count":11,"area":null},{"id":"2203.07735","title":"Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation","created":"2022-03-15","cited_by_count":10,"area":null},{"id":"2208.11503","title":"DPTDR: Deep Prompt Tuning for Dense Passage Retrieval","created":"2022-08-24","cited_by_count":10,"area":null},{"id":"2409.01579","title":"AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models","created":"2024-09-03","cited_by_count":10,"area":"rag"},{"id":"2502.02173","title":"Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledge","created":"2025-02-04","cited_by_count":10,"area":null},{"id":"2505.21815","title":"Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking","created":"2025-05-27","cited_by_count":10,"area":null},{"id":"2601.01280","title":"Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memory","created":"2026-01-03","cited_by_count":10,"area":null},{"id":"2205.00274","title":"Clues Before Answers: Generation-Enhanced Multiple-Choice QA","created":"2022-04-30","cited_by_count":9,"area":null},{"id":"2212.09598","title":"Query-as-context Pre-training for Dense Passage Retrieval","created":"2022-12-19","cited_by_count":9,"area":null},{"id":"2402.17081","title":"A Fine-tuning Enhanced RAG System with Quantized Influence Measure as AI Judge","created":"2024-02-26","cited_by_count":9,"area":"rag"},{"id":"2406.10273","title":"Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis","created":"2024-06-11","cited_by_count":9,"area":"rag"},{"id":"2211.09401","title":"Open-Domain Conversational Question Answering with Historical Answers","created":"2022-11-17","cited_by_count":8,"area":null}],"next_cursor":"100"}