Te-Lin Wu

According to our database, Te-Lin Wu authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation.

Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang

CoRR, 2024

2023

Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty.

Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao

CoRR, 2023

InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation.

Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu, Jing-Wen Chen, Ulrich Neumann

CoRR, 2023

Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge.

Te-Lin Wu, Yu Zhou, Nanyun Peng

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

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos.

Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng

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

Learning Action Conditions from Instructional Manuals for Instruction Understanding.

Te-Lin Wu, Caiqi Zhang, Qingyuan Hu, Alexander Spangher, Nanyun Peng

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

SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams.

Te-Lin Wu, Satwik Kottur, Andrea Madotto, Mahmoud Azab, Pedro Rodríguez, Babak Damavandi, Nanyun Peng, Seungwhan Moon

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

2022

Character-centric Story Visualization via Visual Planning and Token Alignment.

Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, Nanyun Peng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals.

Te-Lin Wu, Alexander Spangher, Pegah Alipoormolabashi, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Understanding Procedural Knowledge by Sequencing Multimodal Instructional Manuals.

Te-Lin Wu, Alexander Spangher, Pegah Alipoormolabashi, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng

CoRR, 2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding.

Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky

CoRR, 2021

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning.

Mingyu Derek Ma, Muhao Chen, Te-Lin Wu, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences.

Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification.

Te-Lin Wu, Shikhar Singh, Sayan Paul, Gully A. Burns, Nanyun Peng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Program Guided Agent.

Shao-Hua Sun, Te-Lin Wu, Joseph J. Lim

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Demo2Vec: Reasoning Object Affordances From Online Videos.

Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Feedback Networks.

Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Bertram E. Shi, Jitendra Malik, Silvio Savarese

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Feedback Networks.

Amir R. Zamir, Te-Lin Wu, Lin Sun, William B. Shen, Jitendra Malik, Silvio Savarese

CoRR, 2016

Emergence of Euclidean geometrical intuitions in hierarchical generative models.

Arianna Yuan, Te-Lin Wu, James L. McClelland

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

A low phase-noise class-C VCO using novel 8-shaped transformer.

Ping-Yi Wang, Te-Lin Wu, Ming-Yu Chen, Yun-Chun Shen, Yin-Cheng Chang, Da-Chiang Chang, Shawn S. H. Hsu

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015