Howard Chen

According to our database, Howard Chen authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Language Models as Science Tutors.

Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

CoRR, 2024

2023

Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.

Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz

CoRR, 2023

COLLIE: Systematic Construction of Constrained Text Generation Tasks.

Shunyu Yao, Howard Chen, Austin W. Hanjie, Runzhe Yang, Karthik Narasimhan

CoRR, 2023

CSTS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

CoRR, 2023

C-STS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

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

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.

Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen

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

2022

Controllable Text Generation with Language Constraints.

Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan

CoRR, 2022

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents.

Shunyu Yao, Howard Chen, John Yang, Karthik Narasimhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can Rationalization Improve Robustness?

Howard Chen, Jacqueline He, Karthik Narasimhan, Danqi Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems.

Derek Chen, Howard Chen, Yi Yang, Alex Lin, Zhou Yu

CoRR, 2021

Non-Parametric Few-Shot Learning for Word Sense Disambiguation.

Howard Chen, Mengzhou Xia, Danqi Chen

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems.

Derek Chen, Howard Chen, Yi Yang, Alexander Lin, Zhou Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Autoregressive Knowledge Distillation through Imitation Learning.

Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Classification by Asking Informative Questions.

Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments.

Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019