Changli Tang

According to our database1, Changli Tang authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization.
CoRR, 2024

Enabling Auditory Large Language Models for Automatic Speech Quality Evaluation.
CoRR, 2024

Can Large Language Models Understand Spatial Audio?
CoRR, 2024

video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SALMONN: Towards Generic Hearing Abilities for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Connecting Speech Encoder and Large Language Model for ASR.
Proceedings of the IEEE International Conference on Acoustics, 2024

Extending Large Language Models for Speech and Audio Captioning.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models.
CoRR, 2023

MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Front-End Adapter: Adapting Front-End Input of Speech Based Self-Supervised Learning for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Exploring Effective Fusion Algorithms for Speech Based Self-Supervised Learning Models.
CoRR, 2022


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