{"total":48,"rows":[{"id":"2210.06628","title":"OpenCQA: Open-ended Question Answering with Charts","created":"2022-10-12","cited_by_count":61,"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":"2103.16775","title":"Attention, please! A survey of Neural Attention Models in Deep Learning","created":"2021-03-31","cited_by_count":51,"area":null},{"id":"2102.05281","title":"Biomedical Question Answering: A Survey of Approaches and Challenges","created":"2021-02-10","cited_by_count":46,"area":null},{"id":"2109.12575","title":"Paradigm Shift in Natural Language Processing","created":"2021-09-26","cited_by_count":39,"area":null},{"id":"2105.07911","title":"SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising","created":"2021-05-17","cited_by_count":27,"area":null},{"id":"2306.09719","title":"Pushing the Limits of ChatGPT on NLP Tasks","created":"2023-06-16","cited_by_count":27,"area":null},{"id":"2111.01026","title":"Introspective Distillation for Robust Question Answering","created":"2021-11-01","cited_by_count":25,"area":null},{"id":"2206.12923","title":"Video Activity Localisation with Uncertainties in Temporal Boundary","created":"2022-06-26","cited_by_count":24,"area":null},{"id":"2108.10696","title":"Spatio-Temporal Self-Attention Network for Video Saliency Prediction","created":"2021-08-24","cited_by_count":19,"area":null},{"id":"2306.07515","title":"A Survey on Video Moment Localization","created":"2023-06-13","cited_by_count":18,"area":null},{"id":"2103.06541","title":"Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality","created":"2021-03-11","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":"2305.10822","title":"When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation","created":"2023-05-18","cited_by_count":17,"area":null},{"id":"2205.11729","title":"From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering","created":"2022-05-24","cited_by_count":12,"area":null},{"id":"2210.07565","title":"Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning","created":"2022-10-14","cited_by_count":11,"area":null},{"id":"2204.02791","title":"Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation","created":"2022-04-06","cited_by_count":10,"area":null},{"id":"2112.05909","title":"Neural Attention Models in Deep Learning: Survey and Taxonomy","created":"2021-12-11","cited_by_count":8,"area":null},{"id":"2207.09150","title":"On the Usability of Transformers-based models for a French Question-Answering task","created":"2022-07-19","cited_by_count":8,"area":null},{"id":"2305.19585","title":"LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction","created":"2023-05-31","cited_by_count":7,"area":null},{"id":"2106.01096","title":"Learning to Rehearse in Long Sequence Memorization","created":"2021-06-02","cited_by_count":6,"area":null},{"id":"2110.04741","title":"Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization","created":"2021-10-10","cited_by_count":6,"area":null},{"id":"2406.10079","title":"Localizing Events in Videos with Multimodal Queries","created":"2024-06-14","cited_by_count":6,"area":null},{"id":"2101.05988","title":"Coarse-grained decomposition and fine-grained interaction for multi-hop question answering","created":"2021-01-15","cited_by_count":5,"area":null},{"id":"2109.12406","title":"MINIMAL: Mining Models for Data Free Universal Adversarial Triggers","created":"2021-09-25","cited_by_count":4,"area":null},{"id":"2311.02961","title":"Adapting Pre-trained Generative Models for Extractive Question Answering","created":"2023-11-06","cited_by_count":4,"area":null},{"id":"2106.00257","title":"A Coarse to Fine Question Answering System based on Reinforcement Learning","created":"2021-06-01","cited_by_count":2,"area":null},{"id":"2106.06637","title":"CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning","created":"2021-06-11","cited_by_count":2,"area":null},{"id":"2203.16027","title":"Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension","created":"2022-03-30","cited_by_count":2,"area":null},{"id":"2206.12094","title":"Unified BERT for Few-shot Natural Language Understanding","created":"2022-06-24","cited_by_count":2,"area":null},{"id":"2305.19769","title":"Attention-Based Methods For Audio Question Answering","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2307.16214","title":"Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs","created":"2023-07-30","cited_by_count":2,"area":null},{"id":"2405.07778","title":"A Comprehensive Analysis of Static Word Embeddings for Turkish","created":"2024-05-13","cited_by_count":2,"area":null},{"id":"2103.14443","title":"Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension","created":"2021-03-26","cited_by_count":1,"area":null},{"id":"2203.14103","title":"Lite Unified Modeling for Discriminative Reading Comprehension","created":"2022-03-26","cited_by_count":1,"area":null},{"id":"2303.07196","title":"A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches","created":"2023-03-13","cited_by_count":1,"area":null},{"id":"2310.18912","title":"Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction","created":"2023-10-29","cited_by_count":1,"area":null},{"id":"2412.07242","title":"Optimization Can Learn Johnson Lindenstrauss Embeddings","created":"2024-12-10","cited_by_count":1,"area":null},{"id":"2103.04294","title":"Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution","created":"2021-03-07","cited_by_count":0,"area":null},{"id":"2109.03009","title":"Sequential Attention Module for Natural Language Processing","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2110.04620","title":"A Framework for Rationale Extraction for Deep QA models","created":"2021-10-09","cited_by_count":0,"area":null},{"id":"2201.10797","title":"An Automated Question-Answering Framework Based on Evolution Algorithm","created":"2022-01-26","cited_by_count":0,"area":null},{"id":"2208.08750","title":"Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension","created":"2022-08-18","cited_by_count":0,"area":null},{"id":"2211.09438","title":"Feature-augmented Machine Reading Comprehension with Auxiliary Tasks","created":"2022-11-17","cited_by_count":0,"area":null},{"id":"2307.16208","title":"Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks","created":"2023-07-30","cited_by_count":0,"area":null},{"id":"2308.05646","title":"AST-MHSA : Code Summarization using Multi-Head Self-Attention","created":"2023-08-10","cited_by_count":0,"area":null},{"id":"2404.08687","title":"A Survey of Reasoning for Substitution Relationships: Definitions, Methods, and Directions","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2502.15695","title":"Contrastive Learning Augmented Social Recommendations","created":"2025-01-03","cited_by_count":0,"area":null}],"next_cursor":null}