Summary of Listen Again and Choose the Right Answer: a New Paradigm For Automatic Speech Recognition with Large Language Models, by Yuchen Hu et al.
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with…
Summary of Densely Distilling Cumulative Knowledge For Continual Learning, by Zenglin Shi et al.
Densely Distilling Cumulative Knowledge for Continual Learningby Zenglin Shi, Pei Liu, Tong Su, Yunpeng Wu,…
Summary of Mgser-sam: Memory-guided Soft Experience Replay with Sharpness-aware Optimization For Enhanced Continual Learning, by Xingyu Li and Bo Tang
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learningby Xingyu Li, Bo…
Summary of Two Effects, One Trigger: on the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-language Models, by Simon Schrodi et al.
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive…
Summary of To Cool or Not to Cool? Temperature Network Meets Large Foundation Models Via Dro, by Zi-hao Qiu et al.
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DROby Zi-Hao…
Summary of Adversarial Sparse Teacher: Defense Against Distillation-based Model Stealing Attacks Using Adversarial Examples, by Eda Yilmaz and Hacer Yalim Keles
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examplesby Eda Yilmaz, Hacer…
Summary of Api Is Enough: Conformal Prediction For Large Language Models Without Logit-access, by Jiayuan Su et al.
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Accessby Jiayuan Su, Jing Luo,…
Summary of Token-specific Watermarking with Enhanced Detectability and Semantic Coherence For Large Language Models, by Mingjia Huo et al.
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Modelsby Mingjia Huo, Sai…
Summary of Sinkhorn Distance Minimization For Knowledge Distillation, by Xiao Cui et al.
Sinkhorn Distance Minimization for Knowledge Distillationby Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan…
Summary of Qurating: Selecting High-quality Data For Training Language Models, by Alexander Wettig et al.
QuRating: Selecting High-Quality Data for Training Language Modelsby Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi…