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Dive into the research topics where Danqi Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Building Next-Generation Language Models based on Retrieval
Chen, D. (PI)
NSF - National Science Foundation
2/15/23 → 1/31/28
Project: Research project
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WORKSHOP: Doctoral consortium at Student Research Workshop at the North American Chapter of the Association for Computational Linguistics
Chen, D. (PI)
NSF - National Science Foundation
7/1/22 → 6/30/23
Project: Research project
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Adapting Language Models to Compress Contexts
Chevalier, A., Wettig, A., Ajith, A. & Chen, D., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 3829-3846 18 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
10 Scopus citations -
A Kernel-Based View of Language Model Fine-Tuning
Malladi, S., Wettig, A., Yu, D., Chen, D. & Arora, S., 2023, In: Proceedings of Machine Learning Research. 202, p. 23610-23641 32 p.Research output: Contribution to journal › Conference article › peer-review
9 Scopus citations -
C-STS: Conditional Semantic Textual Similarity
Deshpande, A., Jimenez, C. E., Chen, H., Murahari, V., Graf, V., Rajpurohit, T., Kalyan, A., Chen, D. & Narasimhan, K., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 5669-5690 22 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Scopus citations -
Enabling Large Language Models to Generate Text with Citations
Gao, T., Yen, H., Yu, J. & Chen, D., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics (ACL), p. 6465-6488 24 p. (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access34 Scopus citations -
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Si, C., Friedman, D., Joshi, N., Feng, S., Chen, D. & He, H., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 11289-11310 22 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
9 Scopus citations