Xiang Chen

Research Scientist

San Jose

Xiang is a Research Scientist at Adobe Research. His research interests focus on Large Language Models and their applications to solve real-world problems. He has also worked on other problems, such as Recommender Systems, and Online Advertising. Prior to joining Adobe, he obtained his Ph.D. in Computer Science from the National University of Singapore, 2018.

Publications

From Selection to Generation: A Survey of LLM-based Active Learning

Xia, Yu., Mukherjee, Subhojyoti., Xie, Zhouhang., Wu, Junda., Li, Xintong., Aponte, Ryan., Lyu, Hanjia., Barrow, Joe., Chen, Hongjie., Dernoncourt, Franck., Kveton, Branislav., Yu, Tong., Zhang, Ruiyi., Gu, Jiuxiang., Ahmed, Nesreen., Wang, Yu., Chen, Xiang., Deilamsalehy, Hanieh., Kim, Sungchul., Hu, Zhengmian., Zhao, Yue., Lipka, Nedim., Yoon, David., Huang, Ting-Hao., Wang, Zichao., Mathur, Puneet., Pal, Soumyabrata., Mukherjee, Koyel., Zhang, Zhehao., Park, Namyong., Nguyen, Thien., Luo, Jiebo., Rossi, Ryan., McAuley, Julian. (Aug. 1, 2025)

ACL 2025

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey

Tanjim, Mehrab., In, Yeonjun., Chen, Xiang., Bursztyn, Victor., Rossi, Ryan., Kim, Sungchul., Ren, Guang-Jie., Muppala, Vaishnavi., Jiang, Shun., Kim, Yongsung., Park, Chanyoung. (May. 18, 2025)

arXiv

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions

Luera, Reuben., Rossi, Ryan., Dernoncourt, Franck., Siu, Alexa., Kim, Sungchul., Yu, Tong., Zhang, Ruiyi., Chen, Xiang., Lipka, Nedim., Zhang, Zhehao., Kim, Seon., Lee, Tak. (May. 2, 2025)

WWW 2025

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models

Wu, Junda., Li, Xintong., Wang, Ruoyu., Xia, Yu., Xiong, Yuxin., Wang, Jianing., Yu, Tong., Chen, Xiang., Kveton, Branislav., Yao, Lina., Shang, Jingbo., McAuley, Julian. (Apr. 24, 2025)

ICLR

ECLAIR: Enhanced Clarification for Interactive Responses

Murzaku, John., Liu, Zifan., Tanjim, Mehrab., Muppala, Vaishnavi., Chen, Xiang., Li, Yunyao. (Apr. 11, 2025)

IAAI 2025

Exploring Rewriting Approaches for Different Conversational Tasks

Tanjim, Md., Rossi, Ryan., Rimer, Mike., Chen, Xiang., Kim, Sungchul., Muppala, Vaishnavi., Yu, Tong., Hu, Zhengmian., Sinha, Ritwik., Zhang, Wei., Burhanuddin, Iftikhar., Dernoncourt, Franck. (Feb. 26, 2025)

Arxiv

Detecting Ambiguities to Guide Query Rewrite for Robust Conversations in Enterprise AI Assistants

Tanjim, Mehrab., Chen, Xiang., Bursztyn, Victor., Bhattacharya, Uttaran., Mai, Tung., Muppala, Vaishnavi., Maharaj, Akash., Mitra, Saayan., Koh, Eunyee., Li, Yunyao., Russell, Ken. (Feb. 1, 2025)

arXiv

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement

Tao, Leitian., Chen, Xiang., Yu, Tong., Mai, Tung., Rossi, Ryan., Li, Yixuan., Mitra, Saayan. (Nov. 7, 2024)

Arxiv

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

Guhan, Pooja., Bhattacharya, Uttaran., Sarkhel, Somdeb., Azizi, Vahid., Chen, Xiang., Mitra, Saayan., Bera, Aniket., Manocha, Dinesh. (Aug. 16, 2024)

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention

Wu, Junda., Yu, Tong., Chen, Xiang., Wang, Haoliang., Rossi, Ryan., Kim, Sungchul., Rao, Anup., McAuley, Julian. (Aug. 11, 2024)

The Annual Meeting of the Association for Computational Linguistics (ACL)

HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

Narasimhaswamy, Supreeth., Bhattacharya, Uttaran., Chen, Xiang., Dasgupta, Ishita., Mitra, Saayan., Hoai, Minh. (Jun. 19, 2024)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Zhuang, Yuchen., Chen, Xiang., Yu, Tong., Mitra, Saayan., Bursztyn, Victor., Rossi, Ryan., Sarkhel, Somdeb., Zhang, Chao. (Mar. 12, 2024)

ICLR 2024

Decentralized Personalized Online Federated Learning

Wu, Renzhi., Mitra, Saayan., Chen, Xiang., Rao, Anup. (Nov. 8, 2023)

IEEE Initernational Conference on Big Data

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling

Zhuang, Yuchen., Yu, Yue., Kong, Lingkai., Chen, Xiang., Zhang, Chao. (Aug. 6, 2023)

KDD 2023

Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations

Azizi, Vahid., Mitra, Saayan., Chen, Xiang. (Dec. 17, 2022)

IEEE Initernational Conference on Big Data

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Zhang, Jianguo., Bui, Trung., Yoon, David., Chen, Xiang., Liu, Zhiwei., Xia, Congying., Tran, Quan., Chang, Walter., Yu, Philip. (Nov. 9, 2021)

EMNLP 2021

Metadata Matters in User Engagement Prediction

Chen, Xiang., Mitra, Saayan., Swaminathan, Vishy. (Jul. 25, 2020)

International ACM SIGIR Conference on Research and Development in Information Retrieval