Tong Yu

Senior Research Scientist

San Jose

Tong Yu is a Senior Research Scientist at Adobe Research. He received his Ph.D. from the Department of Electrical and Computer Engineering at Carnegie Mellon University. His current research focuses on LLMs with applications in dialog systems and recommender systems. He has published papers in conferences and journals, including ACL, NAACL, EMNLP, NeurIPS, ICLR, ICML, TACL, JMLR, TKDD, TKDE, etc.

Publications

Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation

Agarwal, Shubham., Sundaresan, Sai., Mitra, Subrata., Mahapatra, Deb., Yu, Tong., Saini, Shiv. (Jun. 22, 2025)

Special Interest Group on Management of Data (SIGMOD)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Gallegos, Isabel., Aponte, Ryan., Rossi, Ryan., Barrow, Joe., Tanjim, Mehrab., Yu, Tong., Deilamsalehy, Hanieh., Zhang, Ruiyi., Kim, Sungchul., Dernoncourt, Franck., Lipka, Nedim., Owens, Deonna., Gu, Jiuxiang. (May. 4, 2025)

NAACL 2025

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval

Xia, Yu., Wu, Junda., Kim, Sungchul., Yu, Tong., Rossi, Ryan., Wang, Haoliang., McAuley, Julian. (Apr. 29, 2025)

The North American Chapter of the Association for Computational Linguistics (NAACL)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

In, Yeonjun., Kim, Sungchul., Rossi, Ryan., Tanjim, Md., Yu, Tong., Sinha, Ritwik., Park, Chanyoung., Kim, Kim. (Apr. 29, 2025)

The North American Chapter of the Association for Computational Linguistics (NAACL)

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

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

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion

Liu, Yujian., Ji, Jiabao., Yu, Tong., Rossi, Ryan., Kim, Sungchul., Zhao, Handong., Sinha, Ritwik., Zhang, Yang., Chang, Shiyu. (Jan. 28, 2025)

Arxiv

Federated Retrieval Augmented Generation for Multi-Product Question Answering

Shojaee, Parshin., Harsha, Sai., Luo, Dan., Maharaj, Akash., Yu, Tong., Li, Yunyao. (Jan. 19, 2025)

COLING

Calibrating Reasoning in Language Models with Internal Consistency

Xie, Zhihui., Guo, Jizhou., Yu, Tong., Li, Shuai. (Dec. 10, 2024)

NeurIPS

Advancing Vision-Language Models with Adapter Ensemble Strategies

Bai, Yue., Zhao, Handong., Lin, Zhe., Kale, Ajinkya., Gu, Jiuxiang., Yu, Tong., Kim, Sungchul., Fu, Yun. (Nov. 12, 2024)

EMNLP

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

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)

Editing Partially Observable Networks via Graph Diffusion Models

Trivedi, Puja., Rossi, Ryan., Arbour, David., Yu, Tong., Dernoncourt, Franck., Kim, Sungchul., Lipka, Nedim., Park, Namyong., Ahmed, Nesreen., Koutra, Danai. (Jul. 27, 2024)

ICML 2024

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning

Xie, Kaige., Yu, Tong., Wang, Haoliang., Wu, Junda., Zhao, Handong., Zhang, Ruiyi., Mahadik, Kanak., Nenkova, Ani., Riedl, Mark. (Mar. 17, 2024)

The Conference of the European Chapter of the Association for Computational Linguistics (EACL)

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

GPU-accelerated Lossless Image Compression with Massive Parallelization

Shen, Yu., Wu, Gang., Swaminathan, Vishy., Wang, Haoliang., Petrangeli, Stefano., Yu, Tong. (Dec. 11, 2023)

ISM 2023

GPU-accelerated Lossless Image Compression with Massive Parallelization

Shen, Yu., Wu, Gang., Swaminathan, Vishy., Wang, Haoliang., Petrangeli, Stefano., Yu, Tong. (Dec. 11, 2023)

IEEE International Symposium on Multimedia (ISM)

Content-aware Progressive Image Compression and Syncing

Wu, Junda., Wang, Haoliang., Yu, Tong., Zhao, Handong., Wu, Gang., Petrangeli, Stefano., Kim, Sungchul., Swaminathan, Vishy. (Dec. 11, 2023)

IEEE International Symposium on Multimedia (ISM)

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Wu, Junda., Yu, Tong., Wang, Rui., Song, Zhao., Zhang, Ruiyi., Zhao, Handong., Lu, Chaochao., Li, Shuai., Henao, Ricardo. (Dec. 10, 2023)

NeurIPS

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback

Xia, Yu., Wu, Junda., Yu, Tong., Kim, Sungchul., Rossi, Ryan., Li, Shuai. (Aug. 4, 2023)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval

Ma, Haoyu., Zhao, Handong., Lin, Zhe., Kale, Ajinkya., Wang, Zhangyang., Yu, Tong., Gu, Jiuxiang., Choudhary, Sunav., Xie, Xiaohui. (Sep. 27, 2022)

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