Rui Wang - RankMe

28 papers A* 3A 1B 2Misc 1Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMPS: Adaptive Modality Preference Steering via Functional Entropy. CoRR Zihan Huang, Xintong Li, Rohan Surana, Tong Yu, Rui Wang, Julian J. McAuley, Jingbo Shang, Junda Wu
2025	B	`conf`	Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. COLING Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2025	J	`jnl`	CTRLS: Chain-of-Thought Reasoning via Latent State-Transition. CoRR Junda Wu, Yuxin Xiong, Xintong Li, Zhengmian Hu, Tong Yu, Rui Wang, Xiang Chen, Jingbo Shang, Julian J. McAuley
2025	J	`jnl`	CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. CoRR Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025	A*	`conf`	CoMMIT: Coordinated Multimodal Instruction Tuning. EMNLP Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang
2025	B	`conf`	Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. COLING Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao
2025	J	`jnl`	Pluralistic Off-policy Evaluation and Alignment. CoRR Chengkai Huang, Junda Wu, Zhouhang Xie, Yu Xia, Rui Wang, Tong Yu, Subrata Mitra, Julian J. McAuley, Lina Yao
2024	J	`jnl`	Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. CoRR Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li
2024	J	`jnl`	Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
2024	—	`conf`	Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao
2024	J	`jnl`	Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao
2023	—	`—`	Efficient low-Resource Training with pre-trained Deep Neural Networks. Rui Wang
2023	—	`conf`	Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
2023	A*	`conf`	Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
2023	A*	`conf`	InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023	J	`jnl`	InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
2023	A	`conf`	Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. AISTATS Rui Wang, Pengyu Cheng, Ricardo Henao
2023	J	`jnl`	Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. CoRR Rui Wang, Pengyu Cheng, Ricardo Henao
2022	—	`conf`	Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
2022	—	`conf`	Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
2022	Misc	`conf`	Wasserstein Cross-Lingual Alignment For Named Entity Recognition. ICASSP Rui Wang, Ricardo Henao
2022	J	`jnl`	Wasserstein Uncertainty Estimation for Adversarial Domain Matching. Frontiers Big Data Rui Wang, Ruiyi Zhang, Ricardo Henao
2021	—	`conf`	Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin
2021	—	`conf`	Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition. EMNLP (1) Rui Wang, Ricardo Henao
2020	—	`conf`	Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
2020	—	`conf`	Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
2020	J	`jnl`	Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Discriminative Clustering for Robust Unsupervised Domain Adaptation. CoRR Rui Wang, Guoyin Wang, Ricardo Henao