Session-Level Spoken Language Assessment with a Multimodal Foundation Model via Multi-Target Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Hong-Yun, Lin, Jhen-Ke, Wang, Chung-Chun, Lu, Hao-Chien, Chen, Berlin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information
by: Lu, Hao-Chien, et al.
Published: (2025)
by: Lu, Hao-Chien, et al.
Published: (2025)
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions
by: Wang, Chung-Chun, et al.
Published: (2025)
by: Wang, Chung-Chun, et al.
Published: (2025)
Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems
by: Lin, Jhen-Ke, et al.
Published: (2025)
by: Lin, Jhen-Ke, et al.
Published: (2025)
The NTNU System at the S&I Challenge 2025 SLA Open Track
by: Lin, Hong-Yun, et al.
Published: (2025)
by: Lin, Hong-Yun, et al.
Published: (2025)
On the Evaluation of Speech Foundation Models for Spoken Language Understanding
by: Arora, Siddhant, et al.
Published: (2024)
by: Arora, Siddhant, et al.
Published: (2024)
Automated Speaking Assessment of Conversation Tests with Novel Graph-based Modeling on Spoken Response Coherence
by: Li, Jiun-Ting, et al.
Published: (2024)
by: Li, Jiun-Ting, et al.
Published: (2024)
Optimizing Automatic Speech Assessment: W-RankSim Regularization and Hybrid Feature Fusion Strategies
by: Wu, Chung-Wen, et al.
Published: (2024)
by: Wu, Chung-Wen, et al.
Published: (2024)
Are Expert-Level Language Models Expert-Level Annotators?
by: Tseng, Yu-Min, et al.
Published: (2024)
by: Tseng, Yu-Min, et al.
Published: (2024)
SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
by: Chiang, Cheng-Han, et al.
Published: (2025)
by: Chiang, Cheng-Han, et al.
Published: (2025)
Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment
by: Chao, Fu-An, et al.
Published: (2025)
by: Chao, Fu-An, et al.
Published: (2025)
Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
by: Yang, Chih-Kai, et al.
Published: (2024)
by: Yang, Chih-Kai, et al.
Published: (2024)
On The Landscape of Spoken Language Models: A Comprehensive Survey
by: Arora, Siddhant, et al.
Published: (2025)
by: Arora, Siddhant, et al.
Published: (2025)
STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
by: Chiang, Cheng-Han, et al.
Published: (2025)
by: Chiang, Cheng-Han, et al.
Published: (2025)
ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent
by: Yin, Shangjian, et al.
Published: (2024)
by: Yin, Shangjian, et al.
Published: (2024)
Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)
by: Lin, Yu-Xiang, et al.
Published: (2025)
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning
by: Cheng, Xuxin, et al.
Published: (2024)
by: Cheng, Xuxin, et al.
Published: (2024)
On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation
by: Hsu, Chan-Jan, et al.
Published: (2026)
by: Hsu, Chan-Jan, et al.
Published: (2026)
Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding
by: Li, Zhu, et al.
Published: (2025)
by: Li, Zhu, et al.
Published: (2025)
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
by: Huang, Chien-yu, et al.
Published: (2024)
by: Huang, Chien-yu, et al.
Published: (2024)
GSQA: An End-to-End Model for Generative Spoken Question Answering
by: Shih, Min-Han, et al.
Published: (2023)
by: Shih, Min-Han, et al.
Published: (2023)
A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
by: Xu, Hongshen, et al.
Published: (2024)
by: Xu, Hongshen, et al.
Published: (2024)
BUILD-AND-FIND: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases
by: Lin, Jhen-Ke
Published: (2026)
by: Lin, Jhen-Ke
Published: (2026)
Optimal Transport Regularization for Speech Text Alignment in Spoken Language Models
by: Xu, Wenze, et al.
Published: (2025)
by: Xu, Wenze, et al.
Published: (2025)
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models
by: Chang, Kai-Wei, et al.
Published: (2025)
by: Chang, Kai-Wei, et al.
Published: (2025)
Spoken Stereoset: On Evaluating Social Bias Toward Speaker in Speech Large Language Models
by: Lin, Yi-Cheng, et al.
Published: (2024)
by: Lin, Yi-Cheng, et al.
Published: (2024)
AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning
by: Lin, Tzu-Han, et al.
Published: (2025)
by: Lin, Tzu-Han, et al.
Published: (2025)
Semi-Supervised Spoken Language Glossification
by: Yao, Huijie, et al.
Published: (2024)
by: Yao, Huijie, et al.
Published: (2024)
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
by: Chen, Wentong, et al.
Published: (2024)
by: Chen, Wentong, et al.
Published: (2024)
FreezeEmpath: Efficient Training for Empathetic Spoken Chatbots with Frozen LLMs
by: Hong, Yun, et al.
Published: (2026)
by: Hong, Yun, et al.
Published: (2026)
Mitigating Data Imbalance in Automated Speaking Assessment
by: Tsai, Fong-Chun, et al.
Published: (2025)
by: Tsai, Fong-Chun, et al.
Published: (2025)
Multi-task Pretraining for Enhancing Interpretable L2 Pronunciation Assessment
by: Li, Jiun-Ting, et al.
Published: (2025)
by: Li, Jiun-Ting, et al.
Published: (2025)
Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback
by: Lin, Guan-Ting, et al.
Published: (2024)
by: Lin, Guan-Ting, et al.
Published: (2024)
Beyond Modality Limitations: A Unified MLLM Approach to Automated Speaking Assessment with Effective Curriculum Learning
by: Fang, Yu-Hsuan, et al.
Published: (2025)
by: Fang, Yu-Hsuan, et al.
Published: (2025)
Universal Robust Speech Adaptation for Cross-Domain Speech Recognition and Enhancement
by: Wang, Chien-Chun, et al.
Published: (2026)
by: Wang, Chien-Chun, et al.
Published: (2026)
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue
by: Lin, Guan-Ting, et al.
Published: (2023)
by: Lin, Guan-Ting, et al.
Published: (2023)
Surprisal from Larger Transformer-based Language Models Predicts fMRI Data More Poorly
by: Lin, Yi-Chien, et al.
Published: (2025)
by: Lin, Yi-Chien, et al.
Published: (2025)
Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
by: Lin, Guan-Ting, et al.
Published: (2024)
by: Lin, Guan-Ting, et al.
Published: (2024)
Rethinking Personalization in Large Language Models at the Token Level
by: Zhang, Chenheng, et al.
Published: (2026)
by: Zhang, Chenheng, et al.
Published: (2026)
Similar Items
-
Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information
by: Lu, Hao-Chien, et al.
Published: (2025) -
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions
by: Wang, Chung-Chun, et al.
Published: (2025) -
Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems
by: Lin, Jhen-Ke, et al.
Published: (2025) -
The NTNU System at the S&I Challenge 2025 SLA Open Track
by: Lin, Hong-Yun, et al.
Published: (2025) -
On the Evaluation of Speech Foundation Models for Spoken Language Understanding
by: Arora, Siddhant, et al.
Published: (2024)