Summary of Quanta: Efficient High-rank Fine-tuning Of Llms with Quantum-informed Tensor Adaptation, by Zhuo Chen et al.
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptationby Zhuo Chen, Rumen Dangovski, Charlotte…
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptationby Zhuo Chen, Rumen Dangovski, Charlotte…
Mamba State-Space Models Are Lyapunov-Stable Learnersby John T. Halloran, Manbir Gulati, Paul F. RoysdonFirst submitted…
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Bayesian Design Principles for Offline-to-Online Reinforcement Learningby Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu,…
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Modelsby Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu,…
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationalesby Tianyang Xu, Shujin Wu, Shizhe Diao,…
Information Theoretic Text-to-Image Alignmentby Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro MichiardiFirst submitted…
How Multilingual Are Large Language Models Fine-Tuned for Translation?by Aquia Richburg, Marine CarpuatFirst submitted to…
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencodersby A N M Nafiz Abeer,…
Transfer Q Star: Principled Decoding for LLM Alignmentby Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin,…