Anurag Acharya

According to our database, Anurag Acharya authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

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

A Cloud-based Multi-Agentic Workflow for Science.

Anurag Acharya, Timothy Vega, Rizwan A. Ashraf, Anshu Kiran Sharma, Derek Parker, Robert Rallo

CoRR, January, 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

CFD-LLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics.

Nithin Somasekharan, Ling Yue, Yadi Cao, Weichao Li, Patrick Emami, Pochinapeddi Sai Bhargav, Anurag Acharya, Xingyu Xie, Shaowu Pan

CoRR, September, 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

LABMATE: Language Model Based Multi-Agent System to Accelerate Catalysis Experiments.

Anurag Acharya, Anshu Kiran Sharma, Derek Parker, Timothy Vega, Rizwan A. Ashraf, Natalie M. Isenberg, Jan Strube, Robert Rallo

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

2024

DISHONEST: Dissecting misInformation Spread using Homogeneous sOcial NEtworks and Semantic Topic classification.

Caleb Stam, Emily Saldanha, Mahantesh Halappanavar, Anurag Acharya

CoRR, 2024

Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry.

Anurag Acharya, Shivam Sharma, Robin Cosbey, Megha Subramanian, Scott Howland, Maria Glenski

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

GOLEM: GOld Standard for Learning and Evaluation of Motifs.

W. Victor H. Yarlott, Anurag Acharya, Diego Castro Estrada, Diana Gómez, Mark A. Finlayson

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

2022

Finding Trolls Under Bridges: Preliminary Work on a Motif Detector.

W. Victor H. Yarlott, Armando Ochoa, Anurag Acharya, Laurel Bobrow, Diego Castro Estrada, Diana Gómez, Joan Zheng, David McDonald, Chris Miller, Mark A. Finlayson

CoRR, 2022

2020

An Atlas of Cultural Commonsense for Machine Reasoning.

Anurag Acharya, Kartik Talamadupula, Mark A. Finlayson

CoRR, 2020