Summary of Bild: Bi-directional Logits Difference Loss For Large Language Model Distillation, by Minchong Li et al.
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillationby Minchong Li, Feng Zhou, Xiaohui…
Summary of Unused Information in Token Probability Distribution Of Generative Llm: Improving Llm Reading Comprehension Through Calculation Of Expected Values, by Krystian Zawistowski
Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation…
Summary of Css: Contrastive Semantic Similarity For Uncertainty Quantification Of Llms, by Shuang Ao et al.
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsby Shuang Ao, Stefan Rueger, Advaith SiddharthanFirst…
Summary of Holmes: to Detect Adversarial Examples with Multiple Detectors, by Jing Wen
HOLMES: to Detect Adversarial Examples with Multiple Detectorsby Jing WenFirst submitted to arxiv on: 30…
Summary of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment, By Xin Xiao et al.
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignmentby Xin Xiao, Bohong Wu, Jiacong Wang,…
Summary of Lmm-pcqa: Assisting Point Cloud Quality Assessment with Lmm, by Zicheng Zhang et al.
LMM-PCQA: Assisting Point Cloud Quality Assessment with LMMby Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi…
Summary of Pat: Pixel-wise Adaptive Training For Long-tailed Segmentation, by Khoi Do et al.
PAT: Pixel-wise Adaptive Training for Long-tailed Segmentationby Khoi Do, Duong Nguyen, Nguyen H. Tran, Viet…
Summary of Rome: Memorization Insights From Text, Logits and Representation, by Bo Li and Qinghua Zhao and Lijie Wen
ROME: Memorization Insights from Text, Logits and Representationby Bo Li, Qinghua Zhao, Lijie WenFirst submitted…
Summary of Rethinking Classifier Re-training in Long-tailed Recognition: a Simple Logits Retargeting Approach, by Han Lu et al.
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approachby Han Lu, Siyu Sun,…
Summary of Identifying Semantic Induction Heads to Understand In-context Learning, by Jie Ren et al.
Identifying Semantic Induction Heads to Understand In-Context Learningby Jie Ren, Qipeng Guo, Hang Yan, Dongrui…