Multilingual Jointly Trained Acoustic and Written Word Embeddings. - Yushi Hu; Shane Settle; Karen Livescu (INTERSPEECH, 2020)

Acoustic Span Embeddings for Multilingual Query-by-Example Search. - Yushi Hu; Shane Settle; Karen Livescu (SLT, 2021)

In-Context Learning for Few-Shot Dialogue State Tracking. - Yushi Hu; Chia-Hsuan Lee 001; Tianbao Xie; Tao Yu 009; Noah A. Smith; Mari Ostendorf (EMNLP (Findings), 2022)

Unsupervised Learning of Hierarchical Conversation Structure. - Bo-Ru Lu; Yushi Hu; Hao Cheng 002; Noah A. Smith; Mari Ostendorf (EMNLP (Findings), 2022)

PromptCap: Prompt-Guided Task-Aware Image Captioning. - Yushi Hu; Hang Hua; Zhengyuan Yang; Weijia Shi; Noah A. Smith; Jiebo Luo 001 (CoRR, 2022)

One Embedder, Any Task: Instruction-Finetuned Text Embeddings. - Hongjin Su; Weijia Shi; Jungo Kasai; Yizhong Wang; Yushi Hu; Mari Ostendorf; Wen-tau Yih; Noah A. Smith; Luke Zettlemoyer; Tao Yu 009 (ACL (Findings), 2023)

PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. - Yushi Hu; Hang Hua; Zhengyuan Yang; Weijia Shi; Noah A. Smith; Jiebo Luo 001 (ICCV, 2023)

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. - Yushi Hu; Benlin Liu; Jungo Kasai; Yizhong Wang; Mari Ostendorf; Ranjay Krishna; Noah A. Smith (ICCV, 2023)

Binding Language Models in Symbolic Languages. - Zhoujun Cheng; Tianbao Xie; Peng Shi 010; Chengzu Li; Rahul Nadkarni; Yushi Hu; Caiming Xiong; Dragomir Radev; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Tao Yu 009 (ICLR, 2023)

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training. - Zeqiu Wu; Yushi Hu; Weijia Shi; Nouha Dziri; Alane Suhr; Prithviraj Ammanabrolu; Noah A. Smith; Mari Ostendorf; Hannaneh Hajishirzi (NeurIPS, 2023)

Training Language Models to Generate Text with Citations via Fine-grained Rewards. - Chengyu Huang 003; Zeqiu Wu; Yushi Hu; Wenya Wang (ACL (1), 2024)

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. - Katherine M. Collins; Najoung Kim; Yonatan Bitton; Verena Rieser; Shayegan Omidshafiei; Yushi Hu; Sherol Chen; Senjuti Dutta; Minsuk Chang; Kimin Lee; Youwei Liang; Georgina Evans; et al. (AIES (1), 2024)

Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. - Yushi Hu; Otilia Stretcu; Chun-Ta Lu; Krishnamurthy Viswanathan; Kenji Hata; Enming Luo; Ranjay Krishna; Ariel Fuxman (CVPR, 2024)

BLINK: Multimodal Large Language Models Can See but Not Perceive. - Xingyu Fu; Yushi Hu; Bangzheng Li; Yu Feng 013; Haoyu Wang 005; Xudong Lin 003; Dan Roth 001; Noah A. Smith; Wei-Chiu Ma; Ranjay Krishna (ECCV (23), 2024)

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. - Jaemin Cho 001; Yushi Hu; Jason M. Baldridge; Roopal Garg; Peter Anderson; Ranjay Krishna; Mohit Bansal; Jordi Pont-Tuset; Su Wang 001 (ICLR, 2024)

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models. - Yushi Hu; Weijia Shi; Xingyu Fu; Dan Roth 001; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Ranjay Krishna (NeurIPS, 2024)

Decoding-Time Language Model Alignment with Multiple Objectives. - Ruizhe Shi; Yifang Chen 001; Yushi Hu; Alisa Liu; Hanna Hajishirzi; Noah A. Smith; Simon S. Du (NeurIPS, 2024)

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation. - Shivam Duggal; Yushi Hu; Oscar Michel; Aniruddha Kembhavi; William T. Freeman; Noah A. Smith; Ranjay Krishna; Antonio Torralba 001; Ali Farhadi; Wei-Chiu Ma (CVPR, 2025)

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. - Jiao Sun; Deqing Fu; Yushi Hu; Su Wang 001; Royi Rassin; Da-Cheng Juan; Dana Alon; Charles Herrmann; Sjoerd van Steenkiste; Ranjay Krishna; Cyrus Rashtchian (NAACL (Long Papers), 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset. - Jiuhai Chen; Zhiyang Xu; Xichen Pan; Yushi Hu; Can Qin; Tom Goldstein; Lifu Huang; Tianyi Zhou 001; Saining Xie; Silvio Savarese; Le Xue; Caiming Xiong; et al. (CoRR, 2025)

MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. - Jihan Yao; Yushi Hu; Yujie Yi; Bin Han 011; Shangbin Feng; Guang Yang 046; Bingbing Wen; Ranjay Krishna; Lucy Lu Wang; Yulia Tsvetkov; Noah A. Smith; Banghua Zhu (CoRR, 2025)