{"total":49,"rows":[{"id":"2405.12819","title":"Large Language Models Meet NLP: A Survey","created":"2024-05-21","cited_by_count":103,"area":null},{"id":"2305.13009","title":"Textually Pretrained Speech Language Models","created":"2023-05-22","cited_by_count":101,"area":null},{"id":"2410.03751","title":"Recent Advances in Speech Language Models: A Survey","created":"2024-10-01","cited_by_count":87,"area":null},{"id":"2107.03175","title":"A Survey on Dialogue Summarization: Recent Advances and New Frontiers","created":"2021-07-07","cited_by_count":51,"area":null},{"id":"2204.03508","title":"A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods","created":"2022-04-07","cited_by_count":42,"area":null},{"id":"2106.01925","title":"GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling","created":"2021-06-03","cited_by_count":33,"area":null},{"id":"2304.04256","title":"A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding","created":"2023-04-09","cited_by_count":31,"area":null},{"id":"2402.15833","title":"Prompt Perturbation Consistency Learning for Robust Language Models","created":"2024-02-24","cited_by_count":26,"area":null},{"id":"2403.10943","title":"MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations","created":"2024-03-16","cited_by_count":26,"area":null},{"id":"2305.13512","title":"Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding","created":"2023-05-22","cited_by_count":21,"area":null},{"id":"2311.09008","title":"End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions","created":"2023-11-15","cited_by_count":17,"area":null},{"id":"2203.05823","title":"Learning Discriminative Representations and Decision Boundaries for Open Intent Detection","created":"2022-03-11","cited_by_count":15,"area":null},{"id":"2204.08325","title":"GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding","created":"2022-04-18","cited_by_count":14,"area":null},{"id":"2207.13211","title":"A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog","created":"2022-07-26","cited_by_count":14,"area":null},{"id":"2309.14580","title":"CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss","created":"2023-09-26","cited_by_count":12,"area":null},{"id":"2210.08759","title":"Towards Relation Extraction From Speech","created":"2022-10-17","cited_by_count":10,"area":null},{"id":"2204.04637","title":"UniDU: Towards A Unified Generative Dialogue Understanding Framework","created":"2022-04-10","cited_by_count":9,"area":null},{"id":"2211.04023","title":"A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding","created":"2022-11-08","cited_by_count":9,"area":null},{"id":"2304.07699","title":"A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery","created":"2023-04-16","cited_by_count":9,"area":null},{"id":"2504.16427","title":"Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark","created":"2025-04-23","cited_by_count":9,"area":null},{"id":"2112.11953","title":"Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding","created":"2021-12-22","cited_by_count":7,"area":null},{"id":"2401.00424","title":"SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection","created":"2023-12-31","cited_by_count":7,"area":null},{"id":"2403.04481","title":"ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2502.12923","title":"On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generation","created":"2025-02-18","cited_by_count":7,"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":"2207.01893","title":"ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks","created":"2022-07-05","cited_by_count":6,"area":null},{"id":"2305.03237","title":"Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts","created":"2023-05-05","cited_by_count":6,"area":null},{"id":"2509.15389","title":"Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech Data","created":"2025-09-18","cited_by_count":6,"area":null},{"id":"2103.06010","title":"A Result based Portable Framework for Spoken Language Understanding","created":"2021-03-10","cited_by_count":4,"area":null},{"id":"2311.18188","title":"Speech Understanding on Tiny Devices with A Learning Cache","created":"2023-11-30","cited_by_count":3,"area":null},{"id":"2406.10505","title":"CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding","created":"2024-06-15","cited_by_count":3,"area":null},{"id":"2303.00408","title":"A Persian Benchmark for Joint Intent Detection and Slot Filling","created":"2023-03-01","cited_by_count":2,"area":null},{"id":"2305.10231","title":"OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding","created":"2023-05-17","cited_by_count":2,"area":null},{"id":"2402.03900","title":"Pro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding","created":"2024-02-06","cited_by_count":2,"area":null},{"id":"2502.01649","title":"Safeguarding Privacy in Edge Speech Understanding with Tiny Foundation Models","created":"2025-01-29","cited_by_count":2,"area":null},{"id":"2512.01603","title":"MAC-SLU: Multi-Intent Automotive Cabin Spoken Language Understanding Benchmark","created":"2025-12-01","cited_by_count":2,"area":null},{"id":"2205.11008","title":"Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection","created":"2022-05-23","cited_by_count":1,"area":null},{"id":"2211.14829","title":"ESIE-BERT: Enriching Sub-words Information Explicitly with BERT for Joint Intent Classification and SlotFilling","created":"2022-11-27","cited_by_count":1,"area":null},{"id":"2304.13902","title":"Controllable Data Augmentation for Context-Dependent Text-to-SQL","created":"2023-04-27","cited_by_count":1,"area":null},{"id":"2408.02838","title":"Interpretation of the Intent Detection Problem as Dynamics in a Low-dimensional Space","created":"2024-08-05","cited_by_count":1,"area":null},{"id":"2411.15372","title":"Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering","created":"2024-11-22","cited_by_count":1,"area":null},{"id":"2506.16584","title":"Measuring Intent Comprehension in LLMs","created":"2025-06-19","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":"2310.02699","title":"Continual Contrastive Spoken Language Understanding","created":"2023-10-04","cited_by_count":0,"area":null},{"id":"2311.04922","title":"Are cascade dialogue state tracking models speaking out of turn in spoken dialogues?","created":"2023-11-03","cited_by_count":0,"area":null},{"id":"2512.11258","title":"Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2601.17156","title":"Interpretability of the Intent Detection Problem: A New Approach","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2602.08322","title":"A Generative Model for Joint Multiple Intent Detection and Slot Filling","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.09691","title":"ESAinsTOD: A Unified End-to-End Schema-Aware Instruction-Tuning Framework for Task-Oriented Dialog Modeling","created":"2026-03-10","cited_by_count":0,"area":null}],"next_cursor":null}