Howard Chen

Affiliations:
  • Princeton University, Department of Computer Science, NJ, USA
  • ASAPP, New York, NY, USA (former)


According to our database1, Howard Chen authored at least 17 papers between 2019 and 2024.

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Bibliography

2024
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.
CoRR, 2024

Language Models as Science Tutors.
CoRR, 2024


COLLIE: Systematic Construction of Constrained Text Generation Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.
CoRR, 2023

CSTS: Conditional Semantic Textual Similarity.
CoRR, 2023

C-STS: Conditional Semantic Textual Similarity.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Controllable Text Generation with Language Constraints.
CoRR, 2022

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can Rationalization Improve Robustness?
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.
CoRR, 2021

Non-Parametric Few-Shot Learning for Word Sense Disambiguation.
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.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Classification by Asking Informative Questions.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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