Hegelian Self-Reflection for Improved Mathematical and Symbolic Reasoning, and Scientific Discovery in Large Language Models
Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
September 2026
September 2026
Sara Abdali
Senior Researcher
论文与出版物
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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale
Yash Pandya, Sahil Gupta, Sarthak Harne, Archana Yadav, Kavyansh Chourasia, Hussein Mozannar, Vibhav Vineet, Sara Abdali, Corby Rosset, Yash Lara, Ahmed Awadallah, Ece Kamar, Akshay Nambi
July 2026
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Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
NeurIPS 2025 | September 2025
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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
ICLR 2026 | March 2025
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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
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Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
KDD 2024 | August 2024
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Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
arXiv | July 2024
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Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
March 2024
arXiv | March 2024
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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
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Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
ECML-PKDD Scholarship Award
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Hegelian Self-Reflection for Improved Mathematical and Symbolic Reasoning, and Scientific Discovery in Large Language Models
Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
September 2026
September 2026
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Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale
Yash Pandya, Sahil Gupta, Sarthak Harne, Archana Yadav, Kavyansh Chourasia, Hussein Mozannar, Vibhav Vineet, Sara Abdali, Corby Rosset, Yash Lara, Ahmed Awadallah, Ece Kamar, Akshay Nambi
July 2026
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Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
NeurIPS 2025 | September 2025
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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
ICLR 2026 | March 2025
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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
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Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
KDD 2024 | August 2024
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Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
arXiv | July 2024
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Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
March 2024
arXiv | March 2024
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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
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Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
ECML-PKDD Scholarship Award
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Hegelian Self-Reflection for Improved Mathematical and Symbolic Reasoning, and Scientific Discovery in Large Language Models
Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
September 2026
September 2026
-
Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
KDD 2024 | August 2024
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Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
arXiv | July 2024
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Hegelian Self-Reflection for Improved Mathematical and Symbolic Reasoning, and Scientific Discovery in Large Language Models
Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
September 2026
September 2026
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-
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Hegelian Self-Reflection for Improved Mathematical and Symbolic Reasoning, and Scientific Discovery in Large Language Models
Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
September 2026
September 2026
-
Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
KDD 2024 | August 2024
-
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
arXiv | July 2024
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Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
arXiv | July 2024
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Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
March 2024
arXiv | March 2024
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Hegelian Self-Reflection for Improved Mathematical and Symbolic Reasoning, and Scientific Discovery in Large Language Models
Sara Abdali, Can Goksen, Michael Solodko, Saeed Amizadeh, Julie E. Maybee, Kazuhito Koishida
September 2026
September 2026
-
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
arXiv | July 2024
-
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani
March 2024
arXiv | March 2024
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-
-
Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale
Yash Pandya, Sahil Gupta, Sarthak Harne, Archana Yadav, Kavyansh Chourasia, Hussein Mozannar, Vibhav Vineet, Sara Abdali, Corby Rosset, Yash Lara, Ahmed Awadallah, Ece Kamar, Akshay Nambi
July 2026
-
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems
Saeed Amizadeh, Sara Abdali, Yinheng Li, Kazuhito Koishida
NeurIPS 2025 | 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
ICLR 2026 | March 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, A. Bucker, Lawrence Jang, Zack Hui
ICML 2025 | September 2024
-
Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Sara Abdali, Richard Anarfi, CJ Barberan, Jia He
KDD 2024 | August 2024
-
Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
ECML-PKDD Scholarship Award
-
-
-
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
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