2026

• 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 🏆)
  In The Fourteenth International Conference on Learning Representations (ICLR), 2026
  

• Yan L.*, Li R.*, Chen G., Li Q., Geng J., Li W., Wang L., Lyu C.
  Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs
  In Forty-Third International Conference on Machine Learning, (ICML), 2026
  

• Cao B., Lu H., Ma C., Wang T., Li R., Fan J.
  Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
  In Forty-Third International Conference on Machine Learning, (ICML), 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
  

• Ma Y., Lu X., Sang J., Jiang X., Li R.
  Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion Recognition
  In IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2026
  

• Ma Y., Jiang X., Sang J., Li R.
  DFWe: Efficient Knowledge Distillation of Fine-tuned Whisper Encoder for Speech Emotion Recognition
  In Pattern Recognition, 2026
  

• 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 The 64th Annual Meeting of the Association for Computational Linguistics, (ACL, Main), 2026
  

• Hu S., Li R.*, Gao Y.*
  Race, Ethnicity and Their Implication on Bias in Large Language Models
  In arXiv, 2026

• Pucci G., Hemendinger E., Li R., Abercrombie G., Dinkar T., Sinclair A.
  Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback
  In arXiv, 2026

• Yan L., Li R., Han X., Li W., Wang B., Wang L., Lyu C., Chen G.
  Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback
  In arXiv, 2026
  

• Jackson P., Li R., Edelstein E.
  Nationality Encoding in Language Model Hidden States: Probing Culturally Differentiated Representations in Persona-conditioned Academic Text
  In arXiv, 2026

• Hu H., Hou C., Cao B., Li R.
  Benchmarking Text-to-Python against Text-to-SQL: The Impact of Explicit Logic and Ambiguity
  In arXiv, 2026
  

• Sun C., Cao B., Li T., Hou C., Li R., Fan J.
  FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
  In arXiv, 2026

2025

• 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
  

• 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

• 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
  

• 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), 2023
  Area Chair Award 🏆
  

• 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., 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., 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., 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., 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., 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), 2020
  Spotlight, 8/70
  

• Li X., Lin C., Li R., Wang C., 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., 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., Mao R.
  A Stable Variational Autoencoder for Text Modelling
  In The 12th International Conference on Natural Language Generation (INLG), 2019
  Best Paper Runner-up 🏆
  

2018

• Mao R., Chen G., Li R., 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