Ying Shen

According to our database, Ying Shen authored at least 20 papers between 2018 and 2025.

Collaborative distances:

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

2025

LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer.

Ying Shen, Zhiyang Xu, Jiuhai Chen, Shizhe Diao, Jiaxin Zhang, Yuguang Yao, Joy Rimchala, Ismini Lourentzou, Lifu Huang

CoRR, June, 2025

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation.

Kaijie Chen, Zihao Lin, Zhiyang Xu, Ying Shen, Yuguang Yao, Joy Rimchala, Jiaxin Zhang, Lifu Huang

CoRR, May, 2025

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.

Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang

CoRR, February, 2025

ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion.

Ying Shen, Daniel Bis, Cynthia Lu, Ismini Lourentzou

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Modality-Specialized Synergizers for Interleaved Vision-Language Generalists.

Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.

Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang

CoRR, 2024

Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations.

Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

CoRR, 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang

CoRR, 2024

Many-to-many Image Generation with Auto-regressive Diffusion Models.

Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

CoRR, 2024

Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling.

Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects.

Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.

Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.

Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks.

Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning.

Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang

CoRR, 2023

Learning by Asking for Embodied Visual Navigation and Task Completion.

Ying Shen, Ismini Lourentzou

CoRR, 2023

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models.

Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning.

Zhiyang Xu, Ying Shen, Lifu Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2019

Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors.

Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Efficient Low-rank Multimodal Fusion With Modality-Specific Factors.

Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018