Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initializationby Wei-Ping…
LoTR: Low Tensor Rank Weight Adaptationby Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan…
An Information Theoretic Approach to Machine Unlearningby Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue,…
Can MLLMs Perform Text-to-Image In-Context Learning?by Yuchen Zeng, Wonjun Kang, Yicong Chen, Hyung Il Koo,…
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuningby Ahmed Radwan, Layan Zaafarani, Jetana Abudawood, Faisal…
Self-Supervised Contrastive Pre-Training for Multivariate Point Processesby Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao,…
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling lawby Toni J.B.…
ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Modelsby Zhixue Zhao, Boxuan ShanFirst submitted…
Unlearnable Algorithms for In-context Learningby Andrei Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas PapernotFirst submitted…
Learning Label Hierarchy with Supervised Contrastive Learningby Ruixue Lian, William A. Sethares, Junjie HuFirst submitted…