{"total":120,"rows":[{"id":"2005.11401","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","created":"2020-05-22","cited_by_count":9297,"area":"rag"},{"id":"2312.14238","title":"InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks","created":"2023-12-21","cited_by_count":2565,"area":"mllm"},{"id":"2002.08909","title":"REALM: Retrieval-Augmented Language Model Pre-Training","created":"2020-02-10","cited_by_count":2141,"area":"rag"},{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834,"area":null},{"id":"2404.16821","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","created":"2024-04-25","cited_by_count":1050,"area":"mllm"},{"id":"2208.03299","title":"Atlas: Few-shot Learning with Retrieval Augmented Language Models","created":"2022-08-05","cited_by_count":952,"area":"rag"},{"id":"2302.07842","title":"Augmented Language Models: a Survey","created":"2023-02-15","cited_by_count":403,"area":"lr"},{"id":"2411.10442","title":"Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization","created":"2024-11-15","cited_by_count":239,"area":"lr"},{"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":"2307.16877","title":"Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering","created":"2023-07-31","cited_by_count":151,"area":null},{"id":"2503.10291","title":"VisualPRM: An Effective Process Reward Model for Multimodal Reasoning","created":"2025-03-13","cited_by_count":139,"area":"lr"},{"id":"2406.08394","title":"VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks","created":"2024-06-12","cited_by_count":137,"area":"mllm"},{"id":"2106.05346","title":"End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering","created":"2021-06-09","cited_by_count":133,"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":"2407.12043","title":"The Art of Saying No: Contextual Noncompliance in Language Models","created":"2024-07-02","cited_by_count":105,"area":null},{"id":"2406.11832","title":"Unveiling Encoder-Free Vision-Language Models","created":"2024-06-17","cited_by_count":94,"area":"mllm"},{"id":"2107.12708","title":"QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension","created":"2021-07-27","cited_by_count":91,"area":null},{"id":"2402.19474","title":"The All-Seeing Project V2: Towards General Relation Comprehension of the Open World","created":"2024-02-29","cited_by_count":90,"area":null},{"id":"2410.08202","title":"Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training","created":"2024-10-10","cited_by_count":82,"area":"mllm"},{"id":"2401.10208","title":"MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer","created":"2024-01-18","cited_by_count":80,"area":null},{"id":"2106.16038","title":"ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information","created":"2021-06-30","cited_by_count":65,"area":null},{"id":"2105.04371","title":"Poolingformer: Long Document Modeling with Pooling Attention","created":"2021-05-10","cited_by_count":60,"area":null},{"id":"2406.08418","title":"OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text","created":"2024-06-12","cited_by_count":59,"area":null},{"id":"2102.13558","title":"Natural Language Video Localization: A Revisit in Span-based Question Answering Framework","created":"2021-02-26","cited_by_count":55,"area":null},{"id":"2301.07695","title":"EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records","created":"2023-01-16","cited_by_count":45,"area":null},{"id":"2408.15881","title":"LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation","created":"2024-08-28","cited_by_count":45,"area":"mllm"},{"id":"2101.00178","title":"UnitedQA: A Hybrid Approach for Open Domain Question Answering","created":"2021-01-01","cited_by_count":42,"area":null},{"id":"2412.09604","title":"SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding","created":"2024-12-12","cited_by_count":42,"area":null},{"id":"2101.00391","title":"Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering","created":"2021-01-02","cited_by_count":41,"area":null},{"id":"2105.11618","title":"TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference","created":"2021-05-25","cited_by_count":40,"area":"inference"},{"id":"2112.08688","title":"Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks","created":"2021-12-16","cited_by_count":40,"area":"rag"},{"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":"2201.08071","title":"Temporal Sentence Grounding in Videos: A Survey and Future Directions","created":"2022-01-20","cited_by_count":37,"area":null},{"id":"2109.10016","title":"CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval","created":"2021-09-21","cited_by_count":33,"area":null},{"id":"2605.27365","title":"LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding","created":"2026-05-26","cited_by_count":28,"area":"mllm"},{"id":"2108.02866","title":"Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering","created":"2021-08-05","cited_by_count":25,"area":null},{"id":"2111.01026","title":"Introspective Distillation for Robust Question Answering","created":"2021-11-01","cited_by_count":25,"area":null},{"id":"2412.09613","title":"PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models","created":"2024-12-12","cited_by_count":25,"area":"mllm"},{"id":"2205.09226","title":"Modeling Multi-hop Question Answering as Single Sequence Prediction","created":"2022-05-18","cited_by_count":21,"area":null},{"id":"2102.01065","title":"Do Question Answering Modeling Improvements Hold Across Benchmarks?","created":"2021-02-01","cited_by_count":20,"area":null},{"id":"2105.07903","title":"Factoring Statutory Reasoning as Language Understanding Challenges","created":"2021-05-17","cited_by_count":20,"area":null},{"id":"2507.14675","title":"Docopilot: Improving Multimodal Models for Document-Level Understanding","created":"2025-07-19","cited_by_count":19,"area":"mllm"},{"id":"2105.02274","title":"Rethinking Search: Making Domain Experts out of Dilettantes","created":"2021-05-05","cited_by_count":18,"area":null},{"id":"2510.14979","title":"From Pixels to Words -- Towards Native Vision-Language Primitives at Scale","created":"2025-10-16","cited_by_count":18,"area":"mllm"},{"id":"2108.08614","title":"UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text","created":"2021-08-19","cited_by_count":17,"area":null},{"id":"2112.03572","title":"Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices","created":"2021-12-07","cited_by_count":17,"area":null},{"id":"2104.12377","title":"DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension","created":"2021-04-26","cited_by_count":16,"area":null},{"id":"2407.08706","title":"HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models","created":"2024-07-11","cited_by_count":16,"area":"mllm"},{"id":"2103.12876","title":"Complex Factoid Question Answering with a Free-Text Knowledge Graph","created":"2021-03-23","cited_by_count":14,"area":null},{"id":"2105.04241","title":"ReadTwice: Reading Very Large Documents with Memories","created":"2021-05-10","cited_by_count":14,"area":null},{"id":"2510.12184","title":"CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs","created":"2025-10-14","cited_by_count":14,"area":"lr"},{"id":"2109.04066","title":"Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension","created":"2021-09-09","cited_by_count":13,"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":"2507.12566","title":"Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models","created":"2025-07-16","cited_by_count":13,"area":"mllm"},{"id":"2212.10002","title":"Defending Against Disinformation Attacks in Open-Domain Question Answering","created":"2022-12-20","cited_by_count":12,"area":null},{"id":"2106.02134","title":"Syntax-augmented Multilingual BERT for Cross-lingual Transfer","created":"2021-06-03","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":"2209.08372","title":"CodeQueries: A Dataset of Semantic Queries over Code","created":"2022-09-17","cited_by_count":11,"area":null},{"id":"2602.00135","title":"LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models","created":"2026-01-28","cited_by_count":11,"area":"mllm"},{"id":"2103.12235","title":"Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization","created":"2021-03-22","cited_by_count":10,"area":null},{"id":"2412.16158","title":"HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding","created":"2024-12-20","cited_by_count":10,"area":"mllm"},{"id":"2203.10282","title":"Clickbait Spoiling via Question Answering and Passage Retrieval","created":"2022-03-19","cited_by_count":9,"area":null},{"id":"2105.14115","title":"Towards More Equitable Question Answering Systems: How Much More Data Do You Need?","created":"2021-05-28","cited_by_count":8,"area":null},{"id":"2511.20648","title":"LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight","created":"2025-11-25","cited_by_count":8,"area":null},{"id":"2605.28820","title":"From Pixels to Words -- Towards Native One-Vision Models at Scale","created":"2026-05-27","cited_by_count":8,"area":"mllm"},{"id":"2502.12513","title":"RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm","created":"2025-02-18","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":"2311.13735","title":"Surpassing GPT-4 Medical Coding with a Two-Stage Approach","created":"2023-11-22","cited_by_count":6,"area":null},{"id":"2110.04889","title":"Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation","created":"2021-10-10","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":"2402.13576","title":"Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement","created":"2024-02-21","cited_by_count":5,"area":null},{"id":"2509.19018","title":"OmniBridge: Unified Multimodal Understanding, Generation, and Retrieval via Latent Space Alignment","created":"2025-09-23","cited_by_count":5,"area":"mllm"},{"id":"2510.20803","title":"ARGenSeg: Image Segmentation with Autoregressive Image Generation Model","created":"2025-10-23","cited_by_count":5,"area":null},{"id":"2103.02537","title":"Weakly-Supervised Open-Retrieval Conversational Question Answering","created":"2021-03-03","cited_by_count":4,"area":null},{"id":"2103.03820","title":"AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents","created":"2021-03-05","cited_by_count":4,"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":"2210.11870","title":"LittleBird: Efficient Faster & Longer Transformer for Question Answering","created":"2022-10-21","cited_by_count":4,"area":null},{"id":"2308.06431","title":"Performance Prediction for Multi-hop Questions","created":"2023-08-12","cited_by_count":4,"area":null},{"id":"2402.13566","title":"Event-aware Video Corpus Moment Retrieval","created":"2024-02-21","cited_by_count":4,"area":null},{"id":"2406.16779","title":"It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension","created":"2024-06-24","cited_by_count":4,"area":null},{"id":"2506.06279","title":"CoMemo: LVLMs Need Image Context with Image Memory","created":"2025-06-06","cited_by_count":4,"area":"mllm"},{"id":"2404.02933","title":"NL2KQL: From Natural Language to Kusto Query","created":"2024-04-03","cited_by_count":3,"area":null},{"id":"2405.01588","title":"Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL","created":"2024-04-29","cited_by_count":3,"area":null},{"id":"2503.04065","title":"PP-DocBee: Improving Multimodal Document Understanding Through a Bag of Tricks","created":"2025-03-06","cited_by_count":3,"area":null},{"id":"2103.04567","title":"MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension","created":"2021-03-08","cited_by_count":2,"area":null},{"id":"2103.11643","title":"Complementary Evidence Identification in Open-Domain Question Answering","created":"2021-03-22","cited_by_count":2,"area":null},{"id":"2104.08744","title":"Generative Context Pair Selection for Multi-hop Question Answering","created":"2021-04-18","cited_by_count":2,"area":null},{"id":"2106.07174","title":"A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering","created":"2021-06-14","cited_by_count":2,"area":null},{"id":"2107.00368","title":"Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems","created":"2021-07-01","cited_by_count":2,"area":null},{"id":"2107.05002","title":"Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking","created":"2021-07-11","cited_by_count":2,"area":null},{"id":"2108.07994","title":"EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension","created":"2021-08-18","cited_by_count":2,"area":null},{"id":"2203.09073","title":"Ask to Understand: Question Generation for Multi-hop Question Answering","created":"2022-03-17","cited_by_count":2,"area":null},{"id":"2208.01299","title":"To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2211.16029","title":"Diverse Multi-Answer Retrieval with Determinantal Point Processes","created":"2022-11-29","cited_by_count":2,"area":null},{"id":"2308.00946","title":"Teaching Smaller Language Models To Generalise To Unseen Compositional Questions","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2310.08085","title":"Low-Resource Clickbait Spoiling for Indonesian via Question Answering","created":"2023-10-12","cited_by_count":2,"area":null},{"id":"2311.18151","title":"Uncertainty Guided Global Memory Improves Multi-Hop Question Answering","created":"2023-11-29","cited_by_count":2,"area":null},{"id":"2403.11366","title":"JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning","created":"2024-03-17","cited_by_count":2,"area":"rag"},{"id":"2102.06328","title":"ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation","created":"2021-02-12","cited_by_count":1,"area":null},{"id":"2105.00328","title":"When to Fold'em: How to answer Unanswerable questions","created":"2021-05-01","cited_by_count":1,"area":null}],"next_cursor":"100"}