Summary of Robust Policy Learning Via Offline Skill Diffusion, by Woo Kyung Kim et al.
Robust Policy Learning via Offline Skill Diffusionby Woo Kyung Kim, Minjong Yoo, Honguk WooFirst submitted…
Summary of Q-probe: a Lightweight Approach to Reward Maximization For Language Models, by Kenneth Li et al.
Q-Probe: A Lightweight Approach to Reward Maximization for Language Modelsby Kenneth Li, Samy Jelassi, Hugh…
Summary of Representation Learning For Frequent Subgraph Mining, by Rex Ying et al.
Representation Learning for Frequent Subgraph Miningby Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu…
Summary of K-semstamp: a Clustering-based Semantic Watermark For Detection Of Machine-generated Text, by Abe Bohan Hou et al.
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Textby Abe Bohan Hou, Jingyu Zhang,…
Summary of Associative Memories in the Feature Space, by Tommaso Salvatori et al.
Associative Memories in the Feature Spaceby Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas…
Summary of Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-source Llms Through the Embedding Space, by Leo Schwinn and David Dobre and Sophie Xhonneux and Gauthier Gidel and Stephan Gunnemann
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Spaceby…
Summary of Llaga: Large Language and Graph Assistant, by Runjin Chen et al.
LLaGA: Large Language and Graph Assistantby Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang…
Summary of Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings, By Yichen Jiang et al.
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddingsby Yichen Jiang, Xiang Zhou, Mohit…
Summary of Contrastive Approach to Prior Free Positive Unlabeled Learning, by Anish Acharya et al.
Contrastive Approach to Prior Free Positive Unlabeled Learningby Anish Acharya, Sujay SanghaviFirst submitted to arxiv…
Summary of Pregip: Watermarking the Pretraining Of Graph Neural Networks For Deep Intellectual Property Protection, by Enyan Dai et al.
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protectionby Enyan Dai,…