Sara Abdali

Senior Researcher

Papiers de Collaboration

Afficher par:

- Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  
  Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
  
  June 2025
  
  Publication Publication
- 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, A. Bucker, Lawrence Jang, Zack Hui
  
  ICML 2025 | September 2024
  
  DOI Publication Publication
- Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
  
  Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
  
  KDD 2024 | August 2024
  
  Publication
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
  
  Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
  
  July 2024
  
  PDF Publication
- Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
  
  Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
  
  March 2024
  
  Publication Publication
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
  
  Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
  
  ArXiv | December 2023, Vol abs/2312.06820
  
  DOI Publication Publication
- Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
  
  Sara Abdali
  
  2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
  
  ECML-PKDD Scholarship Award
  
  Publication

- Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  
  Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
  
  June 2025
  
  Publication Publication
- 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, A. Bucker, Lawrence Jang, Zack Hui
  
  ICML 2025 | September 2024
  
  DOI Publication Publication
- Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
  
  Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
  
  KDD 2024 | August 2024
  
  Publication
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
  
  Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
  
  July 2024
  
  PDF Publication
- Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
  
  Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
  
  March 2024
  
  Publication Publication
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
  
  Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
  
  ArXiv | December 2023, Vol abs/2312.06820
  
  DOI Publication Publication
- Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
  
  Sara Abdali
  
  2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
  
  ECML-PKDD Scholarship Award
  
  Publication
- Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  
  Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
  
  June 2025
  
  Publication Publication
- Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
  
  Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
  
  KDD 2024 | August 2024
  
  Publication
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
  
  Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
  
  July 2024
  
  PDF Publication
- Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  
  Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
  
  June 2025
  
  Publication Publication
- Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  
  Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
  
  June 2025
  
  Publication Publication
- Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
  
  Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
  
  KDD 2024 | August 2024
  
  Publication
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
  
  Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
  
  July 2024
  
  PDF Publication
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
  
  Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
  
  July 2024
  
  PDF Publication
- Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
  
  Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
  
  March 2024
  
  Publication Publication

- Self-reflecting Large Language Models: A Hegelian Dialectical Approach
  
  Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
  
  June 2025
  
  Publication Publication
- Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
  
  Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
  
  ArXiv | December 2023, Vol abs/2312.06820
  
  DOI Publication Publication
- 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, A. Bucker, Lawrence Jang, Zack Hui
  
  ICML 2025 | September 2024
  
  DOI Publication Publication
- Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
  
  Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
  
  KDD 2024 | August 2024
  
  Publication
- Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
  
  Sara Abdali
  
  2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
  
  ECML-PKDD Scholarship Award
  
  Publication
- Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
  
  Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
  
  July 2024
  
  PDF Publication
- Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
  
  Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
  
  March 2024
  
  Publication Publication