Chun-Yi Kuan
According to our database1,
Chun-Yi Kuan
authored at least 16 papers
between 2023 and 2025.
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Bibliography
2025
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment.
CoRR, July, 2025
From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data.
CoRR, May, 2025
Speech-IFEval: Evaluating Instruction-Following and Quantifying Catastrophic Forgetting in Speech-Aware Language Models.
CoRR, May, 2025
Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples.
CoRR, May, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
CoRR, 2024
Listen and Speak Fairly: a Study on Semantic Gender Bias in Speech Integrated Large Language Models.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
Speech-Copilot: Leveraging Large Language Models for Speech Processing Via Task Decomposition, Modularization, and Program Generation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
Investigating Zero-Shot Generalizability on Mandarin-English Code-Switched ASR And Speech-to-Text Translation of Recent Foundation Models with Self-Supervision and Weak Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2024
Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech.
Proceedings of the IEEE International Conference on Acoustics, 2024
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023