Summary of Krait: a Backdoor Attack Against Graph Prompt Tuning, by Ying Song et al.
Krait: A Backdoor Attack Against Graph Prompt Tuningby Ying Song, Rita Singh, Balaji PalanisamyFirst submitted…
Summary of Analyzing the Generalization and Reliability Of Steering Vectors, by Daniel Tan et al.
Analyzing the Generalization and Reliability of Steering Vectorsby Daniel Tan, David Chanin, Aengus Lynch, Dimitrios…
Summary of Reasoning with Large Language Models, a Survey, by Aske Plaat et al.
Reasoning with Large Language Models, a Surveyby Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens,…
Summary of Graph Structure Prompt Learning: a Novel Methodology to Improve Performance Of Graph Neural Networks, by Zhenhua Huang et al.
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networksby Zhenhua…
Summary of Inertial Confinement Fusion Forecasting Via Large Language Models, by Mingkai Chen et al.
Inertial Confinement Fusion Forecasting via Large Language Modelsby Mingkai Chen, Taowen Wang, Shihui Cao, James…
Summary of Towards Adversarially Robust Vision-language Models: Insights From Design Choices and Prompt Formatting Techniques, by Rishika Bhagwatkar et al.
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniquesby Rishika Bhagwatkar,…
Summary of Direct-inverse Prompting: Analyzing Llms’ Discriminative Capacity in Self-improving Generation, by Jihyun Janice Ahn et al.
Direct-Inverse Prompting: Analyzing LLMs’ Discriminative Capacity in Self-Improving Generationby Jihyun Janice Ahn, Ryo Kamoi, Lu…
Summary of Moesd: Mixture Of Experts Stable Diffusion to Mitigate Gender Bias, by Guorun Wang et al.
MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Biasby Guorun Wang, Lucia SpeciaFirst submitted…
Summary of Evaluating the Efficacy Of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-tuning Decision-making, by Oluyemi Enoch Amujo and Shanchieh Jay Yang
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Makingby Oluyemi Enoch…
Summary of Fine-tuning and Prompt Optimization: Two Great Steps That Work Better Together, by Dilara Soylu et al.
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Togetherby Dilara Soylu, Christopher Potts,…