Sameera Horawalavithana

Researcher, Pacific Northwest National Laboratory

Joined

June 2018

Names

Emails

****@mail.usf.edu (Confirmed)

****@pnnl.gov (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

Pacific Northwest National Laboratory (pnnl.gov)

2022 – Present

Postdoc

Pacific Northwest National Laboratory (pnnl.gov)

2021 – 2022

PhD student

University of South Florida (usf.edu)

2016 – 2021

Advisors, Relations & Conflicts

Postdoc Advisor

Svitlana Volkova

2021 – 2022

PhD Advisor

Adriana Iamnitchi

2016 – 2020

Expertise

Language Modeling

Present

Graph Neural Network

Present

Publications

Auditing the Performance and Calibration of Multi-Modal Large Language Models
Brendan Kennedy, Lauren Phillips, Sai Munikoti, Sameera Horawalavithana, Ian Stewart, Karl Pazdernik
- Calibration for Modern AI @ AISTATS 2026
- Readers: Everyone
Benchmarking LLMs for Environmental Review and Permitting
Rounak Meyur, Hung D Phan, Koby B Hayashi, Ian Stewart, Shivam Sharma, Sarthak Chaturvedi, Mike Parker, Daniel M. Nally, Sadie A. Montgomery, Karl Pazdernik, Ali Jannesari, Mahantesh M Halappanavar, Sai Munikoti, Sameera Horawalavithana, Anurag Acharya
- KDD 2025 Workshop SciSocLLM
- Readers: Everyone
SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions
Sameera Horawalavithana, Sai Munikoti, Ian Stewart, Henry Kvinge, Karl Pazdernik
- NLP4Science Workshop
- Readers: Everyone
Lessons from Developing Multimodal Models with Code and Developer Interactions
Nicholas Botzer, Sameera Horawalavithana, Tim Weninger, Svitlana Volkova
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
MolJET: Multimodal Joint Embedding Transformer for Conditional de novo Molecular Design and Multi-Property Optimization
Orion Walker Dollar, Sameera Horawalavithana, Scott Vasquez, W. James Pfaendtner, Svitlana Volkova
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned
Sameera Horawalavithana, Ellyn Ayton, Shivam Sharma, Scott Howland, Megha Subramanian, Scott Vasquez, Robin Cosbey, Maria Glenski, Svitlana Volkova
- Published: 09 Apr 2022, Last Modified: 05 May 2023
- BigScience#5
- Readers: Everyone
Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit
Sameera Horawalavithana, Nazim Choudhury, John Skvoretz, Adriana Iamnitchi
- 2022 (modified: 24 Apr 2023)
- Comput. Math. Organ. Theory 2022
- Readers: Everyone
Social media activity forecasting with exogenous and endogenous signals
Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi
- 2022 (modified: 24 Apr 2023)
- Soc. Netw. Anal. Min. 2022
- Readers: Everyone
EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs
Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski, Svitlana Volkova
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone
Forecasting topic activity with exogenous and endogenous information signals in Twitter
Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi
- 2021 (modified: 24 Apr 2023)
- ASONAM 2021
- Readers: Everyone

View all 27 publications

Co-Authors

View all 46 co-authors