Ruizhe Li

2026

Wu J.*, Wu Z.*, Li R., Chen T., Hasan A., Kim Y., Cheung J., Zhang T., Wu H.
Medical Knowledge Infusion and Multi-Stage Correction Make LLMs Better Proofreaders for Radiology Reports
In The 40th Annual AAAI Conference on Artificial Intelligence, AI for Social Impact Special Track, (AAAI), 2026

2025

Li R., Chen C., Hu Y., Gao Y., Wang X., Yilmaz E.
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
In Second Mechanistic Interpretability Workshop at NeurIPS 2025, (NeurIPS Mechanistic Interpretability Workshop), 2025
In First Workshop on the Interplay of Model Behavior and Model Internals at the Conference for Language Modeling (COLM 2025), (COLM Interplay Workshop), 2025
In First Workshop on the Application of LLM Explainability to Reasoning and Planning @ COLM 2025, (COLM XLLM-Reason-Plan Workshop), 2025, ( Best Paper Award )
Liu X., Zhang J., Zhou S., Plas T., Vijayaraghavan A., Grishina A., Zhuang M., Schofield D., Tomlinson C., Wang Y., Li R., Zeeland L., Tabakhi S., Demeocq C., Li X., Das A., Timmerman O., Baldwin-McDonald T., Wu J., Bai P., Sahili Z., Alwazzan O., Do T., Suvon M., Wang A., Cipolina-Kun L., Moretti L., Farndale L., Jain N., Efremova N., Ge Y., Varela M., Lam H., Celiktutan O., Evans B., Coca-Castro A., Wu H., Abdallah Z., Chen C., Danchev V., Tkachenko N., Lu L., Zhu T., Slabaugh G., Moore R., Cheung W., Charlton P., Lu H.
Towards deployment-centric multimodal AI beyond vision and language
In Nature Machine Intelligence, 2025
Ma Y., Sang J., Li R.
Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion Recognition
In arXiv, 2025
Xu M., Li R., Deng H., Zeng B.
FADERec: Fine-grained Attribute Distillation Enhanced by Collaborative Fusion for LLM-based Recommendation
In The 14th CCF International Conference on Natural Language Processing and Chinese Computing, (NLPCC), 2025, (Oral, Top 5%)
Yan L., Li R., Geng J., Li Q., Wu M., Wang Z., Li W., Ji T., Jiang S., Lyu C.
On the Taxonomy, Tasks, and Open-Challenges for Multimodal Large Language Models
In IEEE International Conference on Systems, Man, and Cybernetics, (SMC), 2025
Yang C., Xu R., Li R., Cao B., Fan J.
Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs
In arXiv, 2025
Bo Z., Lyu C., Liu S., Yan Z., Wu M., Ni X., Shi T., Zhao Y., Liu Y., Zhu C., Li R., Geng J., Li Q., Tong Y., Wang L., Luo W., Zhang K.
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language Models
In The 63rd Annual Meeting of the Association for Computational Linguistics, (ACL, Main), 2025, (Oral, Top 8%)
Li R., Gao Y.
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
In The 63rd Annual Meeting of the Association for Computational Linguistics, (ACL, Findings), 2025
Ji J., Guo J., Qiu W., Huang Z., Xu Y., Lu X., Jiang X., Li R., Li S.
"I know myself better, but not really greatly": Using LLMs to Detect and Explain LLM-Generated Texts
In arXiv, 2025
Wang X., Sen P., Li R., Yilmaz E.
Adaptive Retrieval-Augmented Generation for Conversational Systems
In Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, (NAACL, Findings), 2025
Gao Y., Li R., Croxford E., Caskey J., Patterson B., Churpek M., Miller T., Dligach D., Afshar M.
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction: Design and Application Study
In Journal of Medical Internet Research, (JMIR AI), 2025

2024

Wu J.*, Wu Z.*, Li R., Hasan A., Kim Y., Cheung J., Zhang T., Wu H.
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction
In arXiv, 2024
Zeng B., Xie L., Li R., Yao Y., Li R.
Aspect-aware Semantic Feature Enhanced Networks for Multimodal Aspect-based Sentiment Analysis
In The Journal of Supercomputing, 2024
Zeng B., Shi H., Li Y., Li R., Deng, H.
Leveraging Large Language Models Knowledge Enhancement Dual-Stage Fine-Tuning Framework for Recommendation
In The 13th CCF International Conference on Natural Language Processing and Chinese Computing, (NLPCC), 2024
Zeng B., Liang J., Hua Y., Li R., Deng, H., Peng Y., Wang R.
THE BAT: Thoughts Hierarchical Enhancement Beyond Arbitrary Text Style Transfer
In The 20th International Conference Advanced Intelligent Computing Technology and Applications, (ICIC), 2024
Cao C., Chen E., Fang X., Cao L., Li R., Lin J, Shi Y.
LLM-Generated Personalized Analogies to Foster AI Literacy in Adult Novices
In International Conference on Computers in Education, (ICCE), 2024
Ji J.*, Li R.*, Li S.*, Guo J., Qiu W., Huang Z., Chen C., Jiang X., Lu X.
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
In arXiv, 2024
Cao C., Chen E., Fang X., Cao L., Li R., Lin J, Shi Y.
Enhancing AI Literacy through LLM-Generated Personalized Analogies: An AI-Powered Learnersourcing Approach
In Learnersourcing: Student-generated Content @ Scale, (LSGCS2), 2024
Hu Y., Chen C., Li R., Zhu Q., Chng E.
Noise-aware Speech Enhancement using Diffusion Probabilistic Model
In Interspeech, 2024
Hu Y., Chen C., Qin C., Zhu Q., Chng E., Li R.
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
In The 62nd Annual Meeting of the Association for Computational Linguistics, (ACL, Findings), 2024
Chen C., Li R., Hu Y., Chen Y., Qin C., Zhang Q.
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
In The 62nd Annual Meeting of the Association for Computational Linguistics, (ACL, Findings), 2024
Hu Y., Chen C., Yang C., Li R., Zhang D., Chen Z., Chng E.
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
In The 62nd Annual Meeting of the Association for Computational Linguistics, (ACL, Oral), 2024
Hu Y., Chen C., Yang C., Li R., Zhang C., Chen P., Chng E.
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
In The Twelfth International Conference on Learning Representations (ICLR), 2024, (Spotlight, Top 5%)
Chen C., Li R., Hu Y., Yang C., Siniscalchi S., Chen P., Chng E.
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
In The Twelfth International Conference on Learning Representations (ICLR), 2024, (Poster)
Wang X., Sen P., Li R., Yilmaz E.
Simulated Task Oriented Dialogues for Developing Versatile Conversational Agents
In The 46th European Conference on Information Retrieval (ECIR), 2024

2023

Gao Y., Li R., Croxford E., Tesch S., To D., Caskey J., Patterson B., Churpek M., Miller T., Dligach D., Afshar M.
Large Language Models and Medical Knowledge Grounding for Diagnosis Prediction
In medRxiv, 2023
Gao Y., Li R., Caskey J., Dligach D., Miller T., Churpek M., Afshar M.
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
In arXiv, 2023
Hu Y., Chen C., Li R., Zou H., Chng E.
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
In The 61st Annual Meeting of the Association for Computational Linguistics (ACL, Oral), 2023
Hu Y., Li R., Chen C., Qin C., Zhu Q., Chng E.
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition
In The 61st Annual Meeting of the Association for Computational Linguistics (ACL, Oral, Area Chair Award ), 2023
Hu Y., Li R., Chen C., Zou H., Zhu Q., Chng E.
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition
In The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023
Hu Y., Chen C., Li R., Zhu Q., Chng E.
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

2021

Li R.*, Peng X.*, Lin C.
On the Latent Holes 🧀 of VAEs for Text Generation
In arXiv, 2021
Zeng C., Chen G., Lin C., Li R. and Chen Z.
Affective Decoding for Empathetic Response Generation
In The 14th International Conference on Natural Language Generation (INLG), 2021
Li R.*, Peng X.*, Lin C., Rong W. and Chen Z.
On the Low-density Latent Regions of VAE-based Language Models (Protocol & Result)
In NeurIPS 2020 Workshop on Pre-registration in Machine Learning (PMLR, Oral Presentation), 2021

2020

Li R., Li X., Chen G. and Lin C.
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
In The 28th International Conference on Computational Linguistics (COLING), 2020
Li X., Chen G., Lin C. and Li R.
DGST: a Dual-Generator Network for Text Style Transfer
In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Li R.*, Peng X.*, Lin C., Rong W. and Chen Z.
On the Low-density Latent Regions of VAE-based Language Models (Protocol)
In NeurIPS 2020 Workshop on Pre-registration in Machine Learning (PMLR, (8/70 spotlight)), 2020
Li X., Lin C., Li R., Wang C. and Guerin F.
Latent Space Factorisation and Manipulation via Matrix Subspace Projection
In The 37th International Conference on Machine Learning (ICML), 2020

2019

Li R., Lin C., Collinson M., Li X. and Chen G.
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
In The SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019
Li R., Li X., Lin C, Collinson M. and Mao R.
A Stable Variational Autoencoder for Text Modelling
In The 12th International Conference on Natural Language Generation (INLG, Best Paper Runner-up), 2019

2018

Mao R., Chen G., Li, R. and Lin C.
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet
In The International Workshop on Semantic Evaluation at the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (SemEval), 2018