Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation

Lifu Huang; Danai Koutra; Adithya Kulkarni; Temiloluwa Prioleau; Qingyun Wu; Yujun Yan; Yaoqing Yang; James Zou; Dawei Zhou

doi:10.1145/3701716.3717754

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation

Lifu Huang
, Danai Koutra
, Adithya Kulkarni
, Temiloluwa Prioleau
, Qingyun Wu
, Yujun Yan
, Yaoqing Yang
, James Zou
, Dawei Zhou

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Original language	English (US)
Title of host publication	WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025
Publisher	Association for Computing Machinery, Inc
Pages	1639-1642
Number of pages	4
ISBN (Electronic)	9798400713316
DOIs	https://doi.org/10.1145/3701716.3717754
State	Published - May 23 2025
Event	34th ACM Web Conference, WWW Companion 2025 - Sydney, Australia Duration: Apr 28 2025 → May 2 2025

Publication series

Name	WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025

Conference

Conference	34th ACM Web Conference, WWW Companion 2025
Country/Territory	Australia
City	Sydney
Period	4/28/25 → 5/2/25

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Access to Document

10.1145/3701716.3717754

Cite this

Huang, L., Koutra, D., Kulkarni, A., Prioleau, T., Wu, Q., Yan, Y., Yang, Y., Zou, J., & Zhou, D. (2025). Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. In WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025 (pp. 1639-1642). (WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025). Association for Computing Machinery, Inc. https://doi.org/10.1145/3701716.3717754

Huang, Lifu ; Koutra, Danai ; Kulkarni, Adithya et al. / Towards Agentic AI for Science : Hypothesis Generation, Comprehension, Quantification, and Validation. WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025. Association for Computing Machinery, Inc, 2025. pp. 1639-1642 (WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025).

@inproceedings{808a0e279df8460aa3ed7f6bea53504b,

title = "Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation",

author = "Lifu Huang and Danai Koutra and Adithya Kulkarni and Temiloluwa Prioleau and Qingyun Wu and Yujun Yan and Yaoqing Yang and James Zou and Dawei Zhou",

year = "2025",

month = may,

day = "23",

doi = "10.1145/3701716.3717754",

language = "English (US)",

series = "WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025",

publisher = "Association for Computing Machinery, Inc",

pages = "1639--1642",

booktitle = "WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025",

note = "34th ACM Web Conference, WWW Companion 2025 ; Conference date: 28-04-2025 Through 02-05-2025",

}

Huang, L, Koutra, D, Kulkarni, A, Prioleau, T, Wu, Q, Yan, Y, Yang, Y, Zou, J & Zhou, D 2025, Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. in WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025. WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025, Association for Computing Machinery, Inc, pp. 1639-1642, 34th ACM Web Conference, WWW Companion 2025, Sydney, Australia, 4/28/25. https://doi.org/10.1145/3701716.3717754

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. / Huang, Lifu; Koutra, Danai; Kulkarni, Adithya et al.
WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025. Association for Computing Machinery, Inc, 2025. p. 1639-1642 (WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Towards Agentic AI for Science

T2 - 34th ACM Web Conference, WWW Companion 2025

AU - Huang, Lifu

AU - Koutra, Danai

AU - Kulkarni, Adithya

AU - Prioleau, Temiloluwa

AU - Wu, Qingyun

AU - Yan, Yujun

AU - Yang, Yaoqing

AU - Zou, James

AU - Zhou, Dawei

PY - 2025/5/23

Y1 - 2025/5/23

UR - https://www.scopus.com/pages/publications/105009228706

UR - https://www.scopus.com/pages/publications/105009228706#tab=citedBy

U2 - 10.1145/3701716.3717754

DO - 10.1145/3701716.3717754

M3 - Conference contribution

AN - SCOPUS:105009228706

T3 - WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025

SP - 1639

EP - 1642

BT - WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025

PB - Association for Computing Machinery, Inc

Y2 - 28 April 2025 through 2 May 2025

ER -

Huang L, Koutra D, Kulkarni A, Prioleau T, Wu Q, Yan Y et al. Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. In WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025. Association for Computing Machinery, Inc. 2025. p. 1639-1642. (WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025). doi: 10.1145/3701716.3717754

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this