Research output per year
Research output per year
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control
Li, Y., Chen, Q., Yan, W., Zhang, Q., Wang, W. & Sundaram, H., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 2362-2377 16 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations
Moorjani, S., Krishnan, A. & Sundaram, H., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics (ACL), p. 1325-1340 16 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Intervening to Increase Community Trust for Fair Network Outcomes
Balepur, N. & Sundaram, H., Jun 3 2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, p. 1827-1837 11 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Spectrum Extraction and Clipping for Implicitly Linear Layers
Boroojeny, A. E., Telgarsky, M. & Sundaram, H., 2024, In: Proceedings of Machine Learning Research. 238, p. 2971-2979 9 p.Research output: Contribution to journal › Conference article › peer-review
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Inform the Uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
Xiao, Z., Li, T. W., Karahalios, K. & Sundaram, H., Apr 19 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 112. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Datasets
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Academic Dataset
Narang, K. (Creator), Sundaram, H. (Creator), Chung, A. (Creator) & Chaturvedi, S. (Creator), University of Illinois Urbana-Champaign, Oct 11 2020
DOI: 10.13012/B2IDB-0454350_V1
Dataset
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Dataset for '“I can show what I really like.”: Eliciting Preferences via Quadratic Voting'
Cheng, T.-C. (Creator), Li, T. W. (Creator), Karahalios, K. G. (Creator) & Sundaram, H. (Creator), University of Illinois Urbana-Champaign, May 1 2021
DOI: 10.13012/B2IDB-1928463_V1
Dataset