{"total":19,"rows":[{"id":"2307.00162","title":"What Do Self-Supervised Speech Models Know About Words?","created":"2023-06-30","cited_by_count":64,"area":null},{"id":"2505.21148","title":"Assessment of L2 Oral Proficiency using Speech Large Language Models","created":"2025-05-27","cited_by_count":14,"area":null},{"id":"2404.07575","title":"An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution","created":"2024-04-11","cited_by_count":7,"area":null},{"id":"2409.11917","title":"LLMs in Education: Novel Perspectives, Challenges, and Opportunities","created":"2024-09-18","cited_by_count":7,"area":null},{"id":"2502.07575","title":"Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss","created":"2025-02-11","cited_by_count":6,"area":null},{"id":"2507.10200","title":"Natural Language-based Assessment of L2 Oral Proficiency using LLMs","created":"2025-07-14","cited_by_count":6,"area":null},{"id":"2211.08849","title":"L2 proficiency assessment using self-supervised speech representations","created":"2022-11-16","cited_by_count":4,"area":null},{"id":"2506.05121","title":"The NTNU System at the S&I Challenge 2025 SLA Open Track","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2507.17918","title":"One Whisper to Grade Them All","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2406.10873","title":"Optimizing Automatic Speech Assessment: W-RankSim Regularization and Hybrid Feature Fusion Strategies","created":"2024-06-16","cited_by_count":1,"area":null},{"id":"2505.02615","title":"Automatic Proficiency Assessment in L2 English Learners","created":"2025-05-05","cited_by_count":0,"area":null},{"id":"2508.11566","title":"Emphasis Sensitivity in Speech Representations","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2508.12591","title":"Beyond Modality Limitations: A Unified MLLM Approach to Automated Speaking Assessment with Effective Curriculum Learning","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2509.03010","title":"Mitigating Data Imbalance in Automated Speaking Assessment","created":"2025-09-03","cited_by_count":0,"area":null},{"id":"2509.03372","title":"An Effective Strategy for Modeling Score Ordinality and Non-uniform Intervals in Automated Speaking Assessment","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2510.04956","title":"MuFFIN: Multifaceted Pronunciation Feedback Model with Interactive Hierarchical Neural Modeling","created":"2025-10-06","cited_by_count":0,"area":null},{"id":"2603.25150","title":"Goodness-of-pronunciation without phoneme time alignment","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2607.16085","title":"Controlling Implicit Shortcut Reliance in L2 Spoken English Auto-markers","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2608.26137","title":"Interpretable, Fairly Evaluated Automated L2 Speaking Assessment that Beats the Single-Human Ceiling and Why Pause Encoding Does Not Change LLM Fluency Scores","created":"2026-06-25","cited_by_count":0,"area":null}],"next_cursor":null}