{"total":151,"rows":[{"id":"2203.15556","title":"Training Compute-Optimal Large Language Models","created":"2022-03-29","cited_by_count":3019,"area":null},{"id":"2112.09118","title":"Unsupervised Dense Information Retrieval with Contrastive Learning","created":"2021-12-16","cited_by_count":1216,"area":null},{"id":"2104.07567","title":"Retrieval Augmentation Reduces Hallucination in Conversation","created":"2021-04-15","cited_by_count":692,"area":null},{"id":"2211.08411","title":"Large Language Models Struggle to Learn Long-Tail Knowledge","created":"2022-11-15","cited_by_count":458,"area":null},{"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":"2109.10862","title":"Recursively Summarizing Books with Human Feedback","created":"2021-09-22","cited_by_count":290,"area":null},{"id":"2104.06967","title":"Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling","created":"2021-04-14","cited_by_count":238,"area":null},{"id":"2310.07521","title":"Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity","created":"2023-10-11","cited_by_count":206,"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":"2204.07496","title":"Improving Passage Retrieval with Zero-Shot Question Generation","created":"2022-04-15","cited_by_count":165,"area":null},{"id":"2210.13701","title":"Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence","created":"2022-10-25","cited_by_count":144,"area":null},{"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":"2211.09699","title":"PromptCap: Prompt-Guided Task-Aware Image Captioning","created":"2022-11-15","cited_by_count":104,"area":null},{"id":"2203.13224","title":"Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion","created":"2022-03-24","cited_by_count":102,"area":null},{"id":"2310.01427","title":"Attention Sorting Combats Recency Bias In Long Context Language Models","created":"2023-09-28","cited_by_count":90,"area":null},{"id":"2110.03611","title":"Adversarial Retriever-Ranker for dense text retrieval","created":"2021-10-07","cited_by_count":83,"area":null},{"id":"2403.20327","title":"Gecko: Versatile Text Embeddings Distilled from Large Language Models","created":"2024-03-29","cited_by_count":83,"area":null},{"id":"2305.17331","title":"Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In","created":"2023-05-27","cited_by_count":71,"area":null},{"id":"2110.04330","title":"KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering","created":"2021-10-08","cited_by_count":67,"area":null},{"id":"2210.01296","title":"Recitation-Augmented Language Models","created":"2022-10-04","cited_by_count":65,"area":null},{"id":"2206.01201","title":"REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering","created":"2022-06-02","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":"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":"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":"2107.11976","title":"One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval","created":"2021-07-26","cited_by_count":46,"area":null},{"id":"2212.02027","title":"Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer","created":"2022-12-05","cited_by_count":45,"area":null},{"id":"2203.08372","title":"Multi-View Document Representation Learning for Open-Domain Dense Retrieval","created":"2022-03-16","cited_by_count":41,"area":null},{"id":"2110.07752","title":"Hindsight: Posterior-guided training of retrievers for improved open-ended generation","created":"2021-10-14","cited_by_count":38,"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":"2310.14393","title":"Merging Generated and Retrieved Knowledge for Open-Domain QA","created":"2023-10-22","cited_by_count":36,"area":null},{"id":"2305.12421","title":"Evaluating Open-QA Evaluation","created":"2023-05-21","cited_by_count":35,"area":null},{"id":"2109.08133","title":"Phrase Retrieval Learns Passage Retrieval, Too","created":"2021-09-16","cited_by_count":33,"area":null},{"id":"2204.10019","title":"Standing on the Shoulders of Giant Frozen Language Models","created":"2022-04-21","cited_by_count":33,"area":null},{"id":"2401.08026","title":"JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims","created":"2024-01-16","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":"2103.11920","title":"Retrieve Fast, Rerank Smart: Cooperative and Joint Approaches for Improved Cross-Modal Retrieval","created":"2021-03-22","cited_by_count":28,"area":null},{"id":"2210.03992","title":"Generative Language Models for Paragraph-Level Question Generation","created":"2022-10-08","cited_by_count":28,"area":null},{"id":"2311.05876","title":"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications","created":"2023-11-10","cited_by_count":28,"area":null},{"id":"2305.14010","title":"IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions","created":"2023-05-23","cited_by_count":26,"area":null},{"id":"2210.05758","title":"Decoupled Context Processing for Context Augmented Language Modeling","created":"2022-10-11","cited_by_count":24,"area":null},{"id":"2109.01242","title":"Entity Linking and Discovery via Arborescence-based Supervised Clustering","created":"2021-09-02","cited_by_count":22,"area":null},{"id":"2204.00716","title":"CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos","created":"2022-04-01","cited_by_count":22,"area":null},{"id":"2405.15318","title":"Are Long-LLMs A Necessity For Long-Context Tasks?","created":"2024-05-24","cited_by_count":22,"area":null},{"id":"2205.12230","title":"Chunk-based Nearest Neighbor Machine Translation","created":"2022-05-24","cited_by_count":21,"area":null},{"id":"2409.09510","title":"Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models","created":"2024-09-14","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":"2205.12650","title":"Few-shot Reranking for Multi-hop QA via Language Model Prompting","created":"2022-05-25","cited_by_count":19,"area":null},{"id":"2305.03130","title":"Chain-of-Skills: A Configurable Model for Open-domain Question Answering","created":"2023-05-04","cited_by_count":19,"area":null},{"id":"2506.17188","title":"Towards AI Search Paradigm","created":"2025-06-20","cited_by_count":19,"area":null},{"id":"2206.14989","title":"A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA","created":"2022-06-30","cited_by_count":18,"area":null},{"id":"2207.12888","title":"LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection","created":"2022-07-26","cited_by_count":18,"area":null},{"id":"2510.26493","title":"Context Engineering 2.0: The Context of Context Engineering","created":"2025-10-30","cited_by_count":18,"area":null},{"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":"2311.15792","title":"Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective","created":"2023-11-27","cited_by_count":16,"area":null},{"id":"2407.20750","title":"JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources","created":"2024-07-30","cited_by_count":15,"area":null},{"id":"2110.06393","title":"Attention-guided Generative Models for Extractive Question Answering","created":"2021-10-12","cited_by_count":14,"area":null},{"id":"2208.03197","title":"Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey","created":"2022-08-05","cited_by_count":14,"area":null},{"id":"2201.05299","title":"A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering","created":"2022-01-14","cited_by_count":13,"area":null},{"id":"2307.03897","title":"Answering Ambiguous Questions via Iterative Prompting","created":"2023-07-08","cited_by_count":13,"area":null},{"id":"2204.03084","title":"Knowledge Infused Decoding","created":"2022-04-06","cited_by_count":12,"area":null},{"id":"2505.15962","title":"Pre-training Limited Memory Language Models with Internal and External Knowledge","created":"2025-05-21","cited_by_count":12,"area":null},{"id":"2110.07524","title":"Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval","created":"2021-10-14","cited_by_count":11,"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":"2203.10623","title":"Calibration of Machine Reading Systems at Scale","created":"2022-03-20","cited_by_count":11,"area":null},{"id":"2207.00758","title":"MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages","created":"2022-07-02","cited_by_count":11,"area":null},{"id":"2305.06300","title":"Evaluating Embedding APIs for Information Retrieval","created":"2023-05-10","cited_by_count":11,"area":null},{"id":"2309.08380","title":"Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation","created":"2023-09-15","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":"2112.07771","title":"Boosted Dense Retriever","created":"2021-12-14","cited_by_count":10,"area":null},{"id":"2306.16478","title":"Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering","created":"2023-06-28","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":"2203.05465","title":"LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval","created":"2022-03-10","cited_by_count":9,"area":null},{"id":"2306.07944","title":"Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding","created":"2023-06-08","cited_by_count":9,"area":null},{"id":"2306.11702","title":"Lingua Manga: A Generic Large Language Model Centric System for Data Curation","created":"2023-06-20","cited_by_count":8,"area":null},{"id":"2408.17344","title":"rerankers: A Lightweight Python Library to Unify Ranking Methods","created":"2024-08-30","cited_by_count":8,"area":null},{"id":"2205.12680","title":"Optimizing Test-Time Query Representations for Dense Retrieval","created":"2022-05-25","cited_by_count":7,"area":null},{"id":"2210.10176","title":"Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering","created":"2022-10-18","cited_by_count":7,"area":null},{"id":"2102.10697","title":"Pruning the Index Contents for Memory Efficient Open-Domain QA","created":"2021-02-21","cited_by_count":6,"area":null},{"id":"2106.15047","title":"Benchmarking Knowledge-driven Zero-shot Learning","created":"2021-06-29","cited_by_count":6,"area":null},{"id":"2211.00915","title":"Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models","created":"2022-11-02","cited_by_count":6,"area":null},{"id":"2302.03754","title":"Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories","created":"2023-02-07","cited_by_count":6,"area":null},{"id":"2305.10149","title":"Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog","created":"2023-05-17","cited_by_count":6,"area":null},{"id":"2305.14766","title":"Allies: Prompting Large Language Model with Beam Search","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2407.12277","title":"Multimodal Reranking for Knowledge-Intensive Visual Question Answering","created":"2024-07-17","cited_by_count":6,"area":null},{"id":"2410.04657","title":"Contrastive Learning to Improve Retrieval for Real-world Fact Checking","created":"2024-10-07","cited_by_count":6,"area":null},{"id":"2210.06656","title":"Knowledge-grounded Dialog State Tracking","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2210.17167","title":"Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives","created":"2022-10-31","cited_by_count":5,"area":null},{"id":"2211.10147","title":"FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering","created":"2022-11-18","cited_by_count":5,"area":null},{"id":"2311.03798","title":"Noisy Pair Corrector for Dense Retrieval","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2401.17092","title":"NNOSE: Nearest Neighbor Occupational Skill Extraction","created":"2024-01-30","cited_by_count":5,"area":null},{"id":"2602.19969","title":"ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting","created":"2026-02-23","cited_by_count":5,"area":null},{"id":"2107.02102","title":"Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints","created":"2021-07-05","cited_by_count":4,"area":null},{"id":"2107.14740","title":"Automatic Claim Review for Climate Science via Explanation Generation","created":"2021-07-30","cited_by_count":4,"area":null},{"id":"2305.11626","title":"CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search","created":"2023-05-19","cited_by_count":4,"area":null},{"id":"2305.17041","title":"RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2405.05508","title":"Redefining Information Retrieval of Structured Database via Large Language Models","created":"2024-05-09","cited_by_count":4,"area":null},{"id":"2409.18644","title":"Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2510.12742","title":"CTRL-Rec: Controlling Recommender Systems With Natural Language","created":"2025-10-14","cited_by_count":4,"area":null}],"next_cursor":"100"}