Summary of Simplicity Prevails: Rethinking Negative Preference Optimization For Llm Unlearning, by Chongyu Fan et al.
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearningby Chongyu Fan, Jiancheng Liu, Licong Lin,…
Summary of Embodied Agent Interface: Benchmarking Llms For Embodied Decision Making, by Manling Li et al.
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Makingby Manling Li, Shiyu Zhao, Qineng Wang,…
Summary of Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models, By Changyi Xiao et al.
Complex Logical Query Answering by Calibrating Knowledge Graph Completion Modelsby Changyi Xiao, Yixin CaoFirst submitted…
Summary of Noise Is All You Need: Private Second-order Convergence Of Noisy Sgd, by Dmitrii Avdiukhin et al.
Noise is All You Need: Private Second-Order Convergence of Noisy SGDby Dmitrii Avdiukhin, Michael Dinitz,…
Summary of Average Certified Radius Is a Poor Metric For Randomized Smoothing, by Chenhao Sun et al.
Average Certified Radius is a Poor Metric for Randomized Smoothingby Chenhao Sun, Yuhao Mao, Mark…
Summary of Degree Distribution Based Spiking Graph Networks For Domain Adaptation, by Yingxu Wang et al.
Degree Distribution based Spiking Graph Networks for Domain Adaptationby Yingxu Wang, Mengzhu Wang, Siwei Liu,…
Summary of Compositional Entailment Learning For Hyperbolic Vision-language Models, by Avik Pal et al.
Compositional Entailment Learning for Hyperbolic Vision-Language Modelsby Avik Pal, Max van Spengler, Guido Maria D'Amely…
Summary of Adversarial Vulnerability As a Consequence Of On-manifold Inseparibility, by Rajdeep Haldar et al.
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibilityby Rajdeep Haldar, Yue Xing, Qifan Song, Guang…
Summary of Predicting Bitcoin Market Trends with Enhanced Technical Indicator Integration and Classification Models, by Abdelatif Hafid et al.
Predicting Bitcoin Market Trends with Enhanced Technical Indicator Integration and Classification Modelsby Abdelatif Hafid, Mohamed…
Summary of Representation Alignment For Generation: Training Diffusion Transformers Is Easier Than You Think, by Sihyun Yu et al.
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Thinkby Sihyun Yu, Sangkyung…