{"total":141,"rows":[{"id":"2206.01718","title":"A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge","created":"2022-06-03","cited_by_count":710,"area":null},{"id":"2403.14608","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","created":"2024-03-21","cited_by_count":656,"area":null},{"id":"2312.02783","title":"Large Language Models on Graphs: A Comprehensive Survey","created":"2023-12-05","cited_by_count":192,"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":"2109.08535","title":"Simple Entity-Centric Questions Challenge Dense Retrievers","created":"2021-09-17","cited_by_count":140,"area":null},{"id":"2109.06835","title":"The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation","created":"2021-09-14","cited_by_count":97,"area":null},{"id":"2110.00768","title":"TopiOCQA: Open-domain Conversational Question Answering with Topic Switching","created":"2021-10-02","cited_by_count":96,"area":null},{"id":"2103.12011","title":"Open Domain Question Answering over Tables via Dense Retrieval","created":"2021-03-22","cited_by_count":74,"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":"2206.00216","title":"THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption","created":"2022-06-01","cited_by_count":57,"area":null},{"id":"2404.13207","title":"STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases","created":"2024-04-19","cited_by_count":55,"area":null},{"id":"2205.12665","title":"QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs","created":"2022-05-25","cited_by_count":42,"area":null},{"id":"2306.03805","title":"The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter","created":"2023-06-06","cited_by_count":42,"area":null},{"id":"2110.07803","title":"Attacking Open-domain Question Answering by Injecting Misinformation","created":"2021-10-15","cited_by_count":41,"area":null},{"id":"2104.05740","title":"A Replication Study of Dense Passage Retriever","created":"2021-04-12","cited_by_count":37,"area":null},{"id":"2104.07081","title":"TWEAC: Transformer with Extendable QA Agent Classifiers","created":"2021-04-14","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":"2305.04757","title":"Augmented Large Language Models with Parametric Knowledge Guiding","created":"2023-05-08","cited_by_count":37,"area":null},{"id":"2102.00875","title":"Scaling Federated Learning for Fine-tuning of Large Language Models","created":"2021-02-01","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":"2109.01156","title":"Challenges in Generalization in Open Domain Question Answering","created":"2021-09-02","cited_by_count":30,"area":null},{"id":"2109.03438","title":"ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question Answering over Historical News Collections","created":"2021-09-08","cited_by_count":30,"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":"2305.09612","title":"Large Language Models are Built-in Autoregressive Search Engines","created":"2023-05-16","cited_by_count":27,"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":"2102.08345","title":"NoiseQA: Challenge Set Evaluation for User-Centric Question Answering","created":"2021-02-16","cited_by_count":25,"area":null},{"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":"2204.03025","title":"Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment","created":"2022-04-06","cited_by_count":25,"area":null},{"id":"2105.09392","title":"Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions","created":"2021-05-19","cited_by_count":24,"area":null},{"id":"2310.05634","title":"Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution","created":"2023-10-09","cited_by_count":24,"area":null},{"id":"2210.02933","title":"Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering","created":"2022-10-06","cited_by_count":22,"area":null},{"id":"2306.11892","title":"Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications","created":"2023-06-20","cited_by_count":21,"area":null},{"id":"2110.12349","title":"Think about it! Improving defeasible reasoning by first modeling the question scenario","created":"2021-10-24","cited_by_count":20,"area":null},{"id":"2201.07745","title":"Improving Biomedical Information Retrieval with Neural Retrievers","created":"2022-01-19","cited_by_count":20,"area":null},{"id":"2204.02908","title":"Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask","created":"2022-04-06","cited_by_count":20,"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":"2306.10460","title":"Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models","created":"2023-06-18","cited_by_count":20,"area":null},{"id":"2109.07009","title":"Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering","created":"2021-09-14","cited_by_count":19,"area":null},{"id":"2202.07280","title":"Saving Dense Retriever from Shortcut Dependency in Conversational Search","created":"2022-02-15","cited_by_count":19,"area":null},{"id":"2502.03304","title":"Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning","created":"2025-02-05","cited_by_count":18,"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":"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":"2201.05088","title":"Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation","created":"2022-01-13","cited_by_count":16,"area":null},{"id":"2105.12969","title":"Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance","created":"2021-05-27","cited_by_count":15,"area":null},{"id":"2212.05974","title":"Federated Few-Shot Learning for Mobile NLP","created":"2022-12-12","cited_by_count":15,"area":null},{"id":"2502.21024","title":"TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions","created":"2025-02-28","cited_by_count":15,"area":null},{"id":"2106.02435","title":"You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient","created":"2021-06-04","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":"2203.14380","title":"Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection","created":"2022-03-27","cited_by_count":13,"area":null},{"id":"2311.09818","title":"SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models","created":"2023-11-16","cited_by_count":13,"area":null},{"id":"2210.12654","title":"Cross-document Event Coreference Search: Task, Dataset and Modeling","created":"2022-10-23","cited_by_count":12,"area":null},{"id":"2310.05007","title":"MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering","created":"2023-10-08","cited_by_count":12,"area":null},{"id":"2401.13463","title":"SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering","created":"2024-01-24","cited_by_count":12,"area":null},{"id":"2103.05552","title":"Comparing Approaches to Dravidian Language Identification","created":"2021-03-09","cited_by_count":11,"area":null},{"id":"2301.10439","title":"ViDeBERTa: A powerful pre-trained language model for Vietnamese","created":"2023-01-25","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":"2110.14532","title":"FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference","created":"2021-10-27","cited_by_count":10,"area":null},{"id":"2403.10351","title":"TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale","created":"2024-03-15","cited_by_count":10,"area":null},{"id":"2308.13191","title":"Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers","created":"2023-08-25","cited_by_count":9,"area":null},{"id":"2102.05757","title":"Customizing Contextualized Language Models forLegal Document Reviews","created":"2021-02-10","cited_by_count":8,"area":null},{"id":"2110.01599","title":"Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering","created":"2021-10-04","cited_by_count":8,"area":null},{"id":"2208.06458","title":"LM-CORE: Language Models with Contextually Relevant External Knowledge","created":"2022-08-12","cited_by_count":8,"area":null},{"id":"2210.00185","title":"Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks","created":"2022-10-01","cited_by_count":8,"area":null},{"id":"2307.11278","title":"Generator-Retriever-Generator Approach for Open-Domain Question Answering","created":"2023-07-21","cited_by_count":8,"area":null},{"id":"2104.08443","title":"A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering","created":"2021-04-17","cited_by_count":7,"area":null},{"id":"2110.06962","title":"Open-Domain Question-Answering for COVID-19 and Other Emergent Domains","created":"2021-10-13","cited_by_count":7,"area":null},{"id":"2209.01621","title":"Interactive Question Answering Systems: Literature Review","created":"2022-09-04","cited_by_count":7,"area":null},{"id":"2305.06557","title":"Long-Tailed Question Answering in an Open World","created":"2023-05-11","cited_by_count":7,"area":null},{"id":"2404.04487","title":"KazQAD: Kazakh Open-Domain Question Answering Dataset","created":"2024-04-06","cited_by_count":7,"area":null},{"id":"2407.00936","title":"Large Language Model Enhanced Knowledge Representation Learning: A Survey","created":"2024-07-01","cited_by_count":7,"area":null},{"id":"2202.10581","title":"Unleashing the Power of Transformer for Graphs","created":"2022-02-18","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":"2204.03930","title":"From Rewriting to Remembering: Common Ground for Conversational QA Models","created":"2022-04-08","cited_by_count":5,"area":null},{"id":"2310.09696","title":"Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering","created":"2023-10-15","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":"2104.12201","title":"Transformers to Fight the COVID-19 Infodemic","created":"2021-04-25","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":"2302.00094","title":"The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models","created":"2023-01-31","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":"2312.05669","title":"Relevance Feedback with Brain Signals","created":"2023-12-09","cited_by_count":4,"area":null},{"id":"2410.10229","title":"BanglaQuAD: A Bengali Open-domain Question Answering Dataset","created":"2024-10-14","cited_by_count":4,"area":null},{"id":"2104.04632","title":"TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation","created":"2021-04-09","cited_by_count":3,"area":null},{"id":"2104.08710","title":"Simple and Efficient ways to Improve REALM","created":"2021-04-18","cited_by_count":3,"area":null},{"id":"2210.03422","title":"SpaceQA: Answering Questions about the Design of Space Missions and Space Craft Concepts","created":"2022-10-07","cited_by_count":3,"area":null},{"id":"2210.05156","title":"Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2211.01954","title":"A BERT-based Deep Learning Approach for Reputation Analysis in Social Media","created":"2022-10-23","cited_by_count":3,"area":null},{"id":"2305.02763","title":"VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets","created":"2023-05-04","cited_by_count":3,"area":null},{"id":"2308.09308","title":"Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification","created":"2023-08-18","cited_by_count":3,"area":null},{"id":"2403.17143","title":"Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language","created":"2024-03-25","cited_by_count":3,"area":null},{"id":"2407.14996","title":"All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks","created":"2024-07-20","cited_by_count":3,"area":null},{"id":"2509.00031","title":"End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost","created":"2025-08-21","cited_by_count":3,"area":null},{"id":"2101.02157","title":"EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System","created":"2021-01-06","cited_by_count":2,"area":null},{"id":"2101.09647","title":"Does Dialog Length matter for Next Response Selection task? An Empirical Study","created":"2021-01-24","cited_by_count":2,"area":null},{"id":"2102.03016","title":"Model Agnostic Answer Reranking System for Adversarial Question Answering","created":"2021-02-05","cited_by_count":2,"area":null},{"id":"2106.08908","title":"A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections","created":"2021-06-16","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}],"next_cursor":"100"}