Yushi Hu

According to our database, Yushi Hu authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.

Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna

CoRR, 2024

BLINK: Multimodal Large Language Models Can See but Not Perceive.

Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna

CoRR, 2024

Training Language Models to Generate Text with Citations via Fine-grained Rewards.

Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang

CoRR, 2024

2023

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

CoRR, 2023

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.

Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian

CoRR, 2023

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation.

Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, Su Wang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Binding Language Models in Symbolic Languages.

Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3.

Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

PromptCap: Prompt-Guided Task-Aware Image Captioning.

Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo

CoRR, 2022

Unsupervised Learning of Hierarchical Conversation Structure.

Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

In-Context Learning for Few-Shot Dialogue State Tracking.

Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Acoustic Span Embeddings for Multilingual Query-by-Example Search.

Yushi Hu, Shane Settle, Karen Livescu

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

2020

Multilingual Jointly Trained Acoustic and Written Word Embeddings.

Yushi Hu, Shane Settle, Karen Livescu

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020