Ruizhe Li

Orcid: 0000-0003-2512-845X

Affiliations:
  • University of Aberdeen, Department of Computing Science, UK
  • University College London, UK (2020-2021)
  • University of Sheffield, Department of Computer Science, UK (PhD 2021)


According to our database1, Ruizhe Li authored at least 27 papers between 2018 and 2024.

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

Timeline

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Links

Online presence:

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Bibliography

2024
Adaptive Retrieval-Augmented Generation for Conversational Systems.
CoRR, 2024

Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models.
CoRR, 2024

Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions.
CoRR, 2024

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators.
CoRR, 2024

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Simulated Task Oriented Dialogues for Developing Versatile Conversational Agents.
Proceedings of the Advances in Information Retrieval, 2024

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.
CoRR, 2023

Noise-aware Speech Enhancement using Diffusion Probabilistic Model.
CoRR, 2023

Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021
Deep latent variable models for text modelling
PhD thesis, 2021

On the Latent Holes of VAEs for Text Generation.
CoRR, 2021

Affective Decoding for Empathetic Response Generation.
CoRR, 2021

Affective Decoding for Empathetic Response Generation.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

2020
On the Low-density Latent Regions of VAE-based Language Models.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.
Proceedings of the 37th International Conference on Machine Learning, 2020

DGST: a Dual-Generator Network for Text Style Transfer.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
A Stable Variational Autoencoder for Text Modelling.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018


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