Sara Abdali

According to our database, Sara Abdali authored at least 23 papers between 2018 and 2026.

Collaborative distances:

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

2026

Scaling Reasoning Efficiently via Relaxed On-Policy Distillation.

Jongwoo Ko, Sara Abdali, Young Jin Kim, Tianyi Chen, Pashmina Cameron

CoRR, March, 2026

CUA-Skill: Develop Skills for Computer Using Agent.

Tianyi Chen, Yinheng Li, Michael Solodko, Sen Wang, Nan Jiang, Tingyuan Cui, Junheng Hao, Jongwoo Ko, Sara Abdali, Suzhen Zheng, Leon Xu, Hao Fan, Pashmina Cameron, Justin Wagle, Kazuhito Koishida

CoRR, January, 2026

2025

AppSelectBench: Application-Level Tool Selection Benchmark.

Tianyi Chen, Michael Solodko, Sen Wang, Jongwoo Ko, Junheng Hao, Colby R. Banbury, Sara Abdali, Saeed Amizadeh, Qing Xiao, Yinheng Li, Tianyu Ding, Kamran Ghasedi Dizaji, Suzhen Zheng, Hao Fan, Justin Wagle, Pashmina Cameron, Kazuhito Koishida

CoRR, November, 2025

Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems.

Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida

CoRR, September, 2025

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots.

Erfan Shayegani, G. M. Shahariar, Sara Abdali, Lei Yu, Nael B. Abu-Ghazaleh, Yue Dong

CoRR, April, 2025

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities.

Sara Abdali, Sina Shaham, Bhaskar Krishnamachari

ACM Comput. Surv., March, 2025

Self-reflecting Large Language Models: A Hegelian Dialectical Approach.

Sara Abdali, Can Goksen, Saeed Amizadeh, Kazuhito Koishida

CoRR, January, 2025

Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale.

Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Keunho Jang, Zheng Hui

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale.

Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Jang, Zack Hui

CoRR, 2024

Can LLMs be Fooled? Investigating Vulnerabilities in LLMs.

Sara Abdali, Jia He, C. J. Barberan, Richard Anarfi

CoRR, 2024

Data Generation Using Large Language Models for Text Classification: An Empirical Case Study.

Yinheng Li, Rogerio Bonatti, Sara Abdali, Justin Wagle, Kazuhito Koishida

CoRR, 2024

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices.

Sara Abdali, Richard Anarfi, C. J. Barberan, Jia He

CoRR, 2024

Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text.

Sara Abdali, Richard Anarfi, C. J. Barberan, Jia He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning.

Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman

CoRR, 2023

2022

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities.

Sara Abdali

CoRR, 2022

Vec2Node: Self-Training with Tensor Augmentation for Text Classification with Few Labels.

Sara Abdali, Subhabrata Mukherjee, Evangelos E. Papalexakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Multilinear (Tensor) Algebra Framework for Misinformation Detection With Limited Supervision

Sara Abdali

PhD thesis, 2021

Deepfake Representation with Multilinear Regression.

Sara Abdali, M. Alex O. Vasilescu, Evangelos E. Papalexakis

CoRR, 2021

KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection.

Sara Abdali, Neil Shah, Evangelos E. Papalexakis

CoRR, 2021

Identifying Misinformation from Website Screenshots.

Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition.

Sara Abdali, Neil Shah, Evangelos E. Papalexakis

CoRR, 2020

Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition.

Sara Abdali, Neil Shah, Evangelos E. Papalexakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2018

Semi-supervised Content-Based Detection of Misinformation via Tensor Embeddings.

Gisel Bastidas Guacho, Sara Abdali, Neil Shah, Evangelos E. Papalexakis

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018