Rosni Vasu

According to our database, Rosni Vasu authored at least 15 papers between 2017 and 2025.

Collaborative distances:

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

2025

AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite.

Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi, Sergey Feldman, Dany Haddad, Jena D. Hwang, Peter A. Jansen, Varsha Kishore, Bodhisattwa Prasad Majumder, Aakanksha Naik, Sigal Rahamimov, Kyle Richardson, Amanpreet Singh, Harshit Surana, Aryeh Tiktinsky, Rosni Vasu, Guy Wiener, Chloe Anastasiades, Stefan Candra, Jason Dunkelberger, Dan Emery, Rob Evans, Malachi Hamada, Regan Huff, Rodney Kinney, Matt Latzke, Jaron Lochner, Ruben Lozano-Aguilera, Cecile Nguyen, Smita Rao, Amber Tanaka, Brooke Vlahos, Peter Clark, Doug Downey, Yoav Goldberg, Ashish Sabharwal, Daniel S. Weld

CoRR, October, 2025

HARPA: A Testability-Driven, Literature-Grounded Framework for Research Ideation.

Rosni Vasu, Peter A. Jansen, Pao Siangliulue, Cristina Sarasua, Abraham Bernstein, Peter Clark, Bhavana Dalvi Mishra

CoRR, October, 2025

Alan's Speakeasy - An Ecosystem for the Evaluation of Conversational Agents.

Luca Rossetto, Cristina Sarasua, Oana Inel, Juan Diego Bermeo, Pablo Sebastian Bolaños, Hugues Devimeux, Huiran Duan, Robin Hany, Athina Kyriakou, Dhivyabharathi Ramasamy, Varun Ghat Ravikumar, Konstantina Timoleon, Rosni Vasu, Ruijie Wang, Daan van der Weijden, Jan Willi, Abraham Bernstein

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance.

Rosni Vasu, Chandrayee Basu, Bhavana Dalvi Mishra, Cristina Sarasua, Peter Clark, Abraham Bernstein

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.

Rosni Vasu, Cristina Sarasua, Abraham Bernstein

Dataset, October, 2024

SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.

Rosni Vasu, Cristina Sarasua, Abraham Bernstein

Dataset, April, 2024

SciHyp: A Fine-Grained Dataset Describing Hypotheses and Their Components from Scientific Articles.

Rosni Vasu, Cristina Sarasua, Abraham Bernstein

Proceedings of the Semantic Web - ISWC 2024, 2024

Single-Label Multi-modal Field of Research Classification.

Florian Ruosch, Rosni Vasu, Ruijie Wang, Luca Rossetto, Abraham Bernstein

Proceedings of the Natural Scientific Language Processing and Research Knowledge Graphs, 2024

An Extended Evaluation of Single-Label Multi-modal Field of Research Classification Using a Taxonomy-Based Metric.

Florian Ruosch, Rosni Vasu, Ruijie Wang, Luca Rossetto, Abraham Bernstein

Proceedings of the Semantic Web: ESWC 2024 Satellite Events, 2024

2023

SciHyp: A Fine-grained Dataset Describing Hypotheses and Their Components from Scientific Articles.

Rosni Vasu, Cristina Sarasua, Abraham Bernstein

Dataset, December, 2023

Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts.

Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Qian Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Influence Based Defense Against Data Poisoning Attacks in Online Learning.

Sanjay Seetharaman, Shubham Malaviya, Rosni K. Vasu, Manish Shukla, Sachin Lodha

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021

Gradient-based Data Subversion Attack Against Binary Classifiers.

Rosni K. Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha

CoRR, 2021

Automatic Medical Text Simplification: Challenges of Data Quality and Curation.

Chandrayee Basu, Rosni Vasu, Michihiro Yasunaga, Sohyeong Kim, Qian Yang

Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, 2021

2017

Divide and Transfer: Understanding Latent Factors for Recommendation Tasks.

Vidyadhar Rao, Rosni K. Vasu, Vineet Padmanabhan

Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017