{"total":23,"rows":[{"id":"2108.00941","title":"A Survey of Human-in-the-loop for Machine Learning","created":"2021-08-02","cited_by_count":215,"area":null},{"id":"2302.10035","title":"Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey","created":"2023-02-20","cited_by_count":153,"area":null},{"id":"2201.05273","title":"Pretrained Language Models for Text Generation: A Survey","created":"2022-01-14","cited_by_count":122,"area":null},{"id":"2105.10311","title":"Pretrained Language Models for Text Generation: A Survey","created":"2021-05-21","cited_by_count":95,"area":null},{"id":"2305.10435","title":"Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions","created":"2023-05-11","cited_by_count":55,"area":null},{"id":"2202.01875","title":"Rethinking Explainability as a Dialogue: A Practitioner's Perspective","created":"2022-02-03","cited_by_count":52,"area":null},{"id":"2412.12591","title":"LLMs are Also Effective Embedding Models: An In-depth Overview","created":"2024-12-17","cited_by_count":32,"area":null},{"id":"2106.00874","title":"Conversational Question Answering: A Survey","created":"2021-06-02","cited_by_count":31,"area":null},{"id":"2401.02994","title":"Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM","created":"2024-01-04","cited_by_count":27,"area":null},{"id":"2210.03221","title":"PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection","created":"2022-10-06","cited_by_count":26,"area":null},{"id":"2108.13990","title":"Effective Sequence-to-Sequence Dialogue State Tracking","created":"2021-08-31","cited_by_count":20,"area":null},{"id":"2108.12599","title":"Smoothing Dialogue States for Open Conversational Machine Reading","created":"2021-08-28","cited_by_count":6,"area":null},{"id":"2303.18162","title":"ViMMRC 2.0 -- Enhancing Machine Reading Comprehension on Vietnamese Literature Text","created":"2023-03-31","cited_by_count":5,"area":null},{"id":"2308.02294","title":"Learning to Select the Relevant History Turns in Conversational Question Answering","created":"2023-08-04","cited_by_count":4,"area":null},{"id":"2304.07125","title":"Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering","created":"2023-04-14","cited_by_count":3,"area":null},{"id":"2105.10267","title":"Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging","created":"2021-05-21","cited_by_count":2,"area":null},{"id":"2112.11052","title":"Predicting Job Titles from Job Descriptions with Multi-label Text Classification","created":"2021-12-21","cited_by_count":2,"area":null},{"id":"2210.07113","title":"Towards End-to-End Open Conversational Machine Reading","created":"2022-10-13","cited_by_count":2,"area":null},{"id":"2208.02402","title":"Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models","created":"2022-08-04","cited_by_count":1,"area":null},{"id":"2208.05757","title":"A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception","created":"2022-08-11","cited_by_count":1,"area":null},{"id":"2509.05716","title":"A Survey of the State-of-the-Art in Conversational Question Answering Systems","created":"2025-09-06","cited_by_count":1,"area":null},{"id":"2110.04984","title":"Advances in Multi-turn Dialogue Comprehension: A Survey","created":"2021-10-11","cited_by_count":0,"area":null},{"id":"2211.03648","title":"Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems","created":"2022-11-07","cited_by_count":0,"area":null}],"next_cursor":null}