Sameera Horawalavithana

According to our database, Sameera Horawalavithana authored at least 40 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding.

Sai Munikoti, Ian Stewart, Chengping Chai, Lisa Linville, Scott Vasquez, Sameera Horawalavithana, Karl Pazdernik

CoRR, May, 2026

Evaluating Memory Condensation Strategies for Coding Agents in Data-Driven Scientific Discovery.

Renuka Chintalapati, Sid Raskar, Anurag Acharya, Jared Willard, Patrick Emami, Sameera Horawalavithana

CoRR, May, 2026

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science.

Nithin Somasekharan, Youssef Hassan, Shiyao Lin, Gihan Panapitiya, Patrick Emami, Anurag Acharya, Sameera Horawalavithana, Shaowu Pan

CoRR, May, 2026

Reward Design for Physical Reasoning in Vision-Language Models.

Derek Lilienthal, Manisha Mukherjee, Sameera Horawalavithana

CoRR, April, 2026

Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models.

Sameera Horawalavithana, Lauren Phillips, Ian Stewart, Sai Munikoti, Karl Pazdernik

CoRR, April, 2026

Generalist multimodal AI: A review of architectures, challenges and opportunities.

Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik

Neurocomputing, 2026

DraftNEPABench: A Benchmark for Drafting NEPA Document Sections with Coding Agents.

Anurag Acharya, Bishal Lakha, Rounak Meyur, Rohan Nuttall, Sarthak Chaturvedi, Anika Halappanavar, Leah Hare, Lin Zeng, Mike Parker, Sai Munikoti, Sameera Horawalavithana

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing.

Reilly Raab, Mike Parker, Dan Nally, Sadie Montgomery, Anastasia Bernat, Sai Munikoti, Sameera Horawalavithana

CoRR, July, 2025

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains.

Sarthak Chaturvedi, Anurag Acharya, Rounak Meyur, Koby Hayashi, Sai Munikoti, Sameera Horawalavithana

CoRR, June, 2025

2024

Anticipating Technical Expertise and Capability Evolution in Research Communities Using Dynamic Graph Transformers.

Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Robin Cosbey, Svitlana Volkova

IEEE Trans. Comput. Soc. Syst., October, 2024

Modeling information diffusion in social media: data-driven observations.

Adriana Iamnitchi, Lawrence O. Hall, Sameera Horawalavithana, Frederick Mubang, Kin Wai Ng, John Skvoretz

Frontiers Big Data, 2024

Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models.

Ian Stewart, Sameera Horawalavithana, Brendan Kennedy, Sai Munikoti, Karl Pazdernik

CoRR, 2024

PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain.

Rounak Meyur, Hung Phan, Sridevi Wagle, Jan Strube, Mahantesh Halappanavar, Sameera Horawalavithana, Anurag Acharya, Sai Munikoti

CoRR, 2024

RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension.

Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana

CoRR, 2024

2023

Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development.

Sameera Horawalavithana, Ravindu De Silva, Nipuna Weerasekara, N. G. Kin Wai, Mohamed Nabeel, Buddhini Abayaratna, Charitha Elvitigala, Primal Wijesekera, Adriana Iamnitchi

Comput. Math. Organ. Theory, September, 2023

ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science.

Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana

CoRR, 2023

Empirical evaluation of Uncertainty Quantification in Retrieval-Augmented Language Models for Science.

Sridevi Wagle, Sai Munikoti, Anurag Acharya, Sara Smith, Sameera Horawalavithana

CoRR, 2023

Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning.

Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana

CoRR, 2023

NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain.

Anurag Acharya, Sai Munikoti, Aaron Hellinger, Sara Smith, Sridevi Wagle, Sameera Horawalavithana

CoRR, 2023

SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions.

Sameera Horawalavithana, Sai Munikoti, Ian Stewart, Henry Kvinge

CoRR, 2023

2022

Social media activity forecasting with exogenous and endogenous signals.

Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi

Soc. Netw. Anal. Min., 2022

EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs.

Sameera Horawalavithana, Ellyn Ayton, Anastasiya Usenko, Shivam Sharma, Jasmine Eshun, Robin Cosbey, Maria Glenski, Svitlana Volkova

CoRR, 2022

Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit.

Sameera Horawalavithana, Nazim Choudhury, John Skvoretz, Adriana Iamnitchi

Comput. Math. Organ. Theory, 2022

2021

Social-Media Activity Forecasting with Exogenous Information Signals.

Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi

CoRR, 2021

Malicious and Low Credibility URLs on Twitter during COVID-19.

Sameera Horawalavithana, Ravindu De Silva, Mohamed Nabeel, Charitha Elvitigala, Primal Wijesekera, Adriana Iamnitchi

CoRR, 2021

Drivers of Polarized Discussions on Twitter during Venezuela Political Crisis.

Sameera Horawalavithana, Kin Wai Ng, Adriana Iamnitchi

Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development.

Sameera Horawalavithana, Ravindu De Silva, Mohamed Nabeel, Charitha Elvitigala, Primal Wijesekera, Adriana Iamnitchi

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

Multi-platform Information Operations: Twitter, Facebook and YouTube against the White Helmets.

Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

Forecasting topic activity with exogenous and endogenous information signals in Twitter.

Kin Wai Ng, Sameera Horawalavithana, Adriana Iamnitchi

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Cascade-LSTM: Predicting Information Cascades using Deep Neural Networks.

Sameera Horawalavithana, John Skvoretz, Adriana Iamnitchi

CoRR, 2020

Twitter Is the Megaphone of Cross-platform Messaging on the White Helmets.

Sameera Horawalavithana, Kin Wai Ng, Adriana Iamnitchi

Proceedings of the Social, Cultural, and Behavioral Modeling, 2020

2019

Behind the Mask: Understanding the Structural Forces That Make Social Graphs Vulnerable to Deanonymization.

Sameera Horawalavithana, Juan Arroyo Flores, John Skvoretz, Adriana Iamnitchi

IEEE Trans. Comput. Soc. Syst., 2019

Temporal Mobility Networks in Online Gaming.

Essa Alhazmi, Nazim Choudhury, Sameera Horawalavithana, Adriana Iamnitchi

Frontiers Big Data, 2019

On the Privacy of dK-Random Graphs.

Sameera Horawalavithana, Adriana Iamnitchi

CoRR, 2019

The risk of node re-identification in labeled social graphs.

Sameera Horawalavithana, Juan Arroyo Flores, John Skvoretz, Adriana Iamnitchi

Appl. Netw. Sci., 2019

Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub.

Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, Adriana Iamnitchi

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Predicting Longitudinal User Activity at Fine Time Granularity in Online Collaborative Platforms.

Renhao Liu, Frederick Mubang, Lawrence O. Hall, Sameera Horawalavithana, Adriana Iamnitchi, John Skvoretz

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Diversity, Topology, and the Risk of Node Re-identification in Labeled Social Graphs.

Sameera Horawalavithana, Clayton Gandy, Juan Arroyo Flores, John Skvoretz, Adriana Iamnitchi

CoRR, 2018

Diversity, Homophily and the Risk of Node Re-identification in Labeled Social Graphs.

Sameera Horawalavithana, Clayton Gandy, Juan Arroyo Flores, John Skvoretz, Adriana Iamnitchi

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

An Empirical Study on Team Formation in Online Games.

Essa Alhazmi, Sameera Horawalavithana, John Skvoretz, Jeremy Blackburn, Adriana Iamnitchi

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017