Junda Wu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Language Understanding

Causal Inference

Top Venues

Publications

An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. CoRR (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) (2024)
Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley
Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation. CoRR (2024)
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR (2024)
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM (2024)
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) (2024)
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) (2024)
Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR (2024)
Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR (2024)
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. CoRR (2024)
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD (2024)
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD (2023)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR (2023)
Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) (2023)
Ziao Wang, Yuhang Li, Junda Wu, Jaehyeon Soon, Xiaofeng Zhang
FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis. CoRR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR (2023)
Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS (2023)
Raj Desai, Marko Cvetkovic, Junda Wu, Georgios Papaioannou, Riender Happee
Computationally efficient human body modelling for real time motion comfort assessment. CoRR (2023)
Ziao Wang, Jianning Wang, Junda Wu, Xiaofeng Zhang
An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model. CoRR (2023)
Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan
Content-aware Progressive Image Compression and Syncing. ISM (2023)
Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. User Model. User Adapt. Interact. 33 (5) (2023)
Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI (2023)
Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) (2022)
Yong Zhuang, Tong Yu, Junda Wu, Shiqu Wu, Shuai Li
Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. ACM Multimedia (2022)
Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. SIGIR (2022)
Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li
Clustering of Conversational Bandits for User Preference Learning and Elicitation. CIKM (2021)
Junda Wu, Tong Yu, Shuai Li
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes. ACM Multimedia (2021)
Yaping Zheng, Junda Wu, Xiaofeng Zhang, Xiaowen Chu
Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process. WI/IAT (2020)