Self-reflecting Large Language Models: A Hegelian Dialectical Approach
Sara Abdali, Can Goksen, Saeed Amizadeh, Kazuhito Koishida
January 2025
Sara Abdali
Senior Researcher
Publications
Publications by Year
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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
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He
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, Vol abs/2312.06820
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
December 2023
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Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
ECML-PKDD Scholarship Award
Publications by Research Area
-
Self-reflecting Large Language Models: A Hegelian Dialectical Approach
Sara Abdali, Can Goksen, Saeed Amizadeh, Kazuhito Koishida
January 2025
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
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He
March 2024
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
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
December 2023
Vec2Node: Self-training with Tensor Augmentation for Text Classification with Few Labels
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
ECML-PKDD Scholarship Award
-
Self-reflecting Large Language Models: A Hegelian Dialectical Approach
Sara Abdali, Can Goksen, Saeed Amizadeh, Kazuhito Koishida
January 2025
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
-
Self-reflecting Large Language Models: A Hegelian Dialectical Approach
Sara Abdali, Can Goksen, Saeed Amizadeh, Kazuhito Koishida
January 2025
-
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He
March 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
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
Publications by Type
-
Self-reflecting Large Language Models: A Hegelian Dialectical Approach
Sara Abdali, Can Goksen, Saeed Amizadeh, Kazuhito Koishida
January 2025
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan, Richard Anarfi
July 2024
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, C. Barberan, Jia He
March 2024
-
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
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning
December 2023
-
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
2022 European Conference on Principles of Data Mining and Knowledge Discovery | September 2022
ECML-PKDD Scholarship Award