Summary of Reflect-rl: Two-player Online Rl Fine-tuning For Lms, by Runlong Zhou et al.
Reflect-RL: Two-Player Online RL Fine-Tuning for LMsby Runlong Zhou, Simon S. Du, Beibin LiFirst submitted…
Summary of Ebft: Effective and Block-wise Fine-tuning For Sparse Llms, by Song Guo et al.
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMsby Song Guo, Fan Wu, Lei Zhang, Xiawu…
Summary of Robust Clip: Unsupervised Adversarial Fine-tuning Of Vision Embeddings For Robust Large Vision-language Models, by Christian Schlarmann et al.
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Modelsby Christian Schlarmann,…
Summary of A Critical Evaluation Of Ai Feedback For Aligning Large Language Models, by Archit Sharma et al.
A Critical Evaluation of AI Feedback for Aligning Large Language Modelsby Archit Sharma, Sedrick Keh,…
Summary of Mafin: Enhancing Black-box Embeddings with Model Augmented Fine-tuning, by Mingtian Zhang et al.
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuningby Mingtian Zhang, Shawn Lan, Peter Hayes, David…
Summary of Uncertainty Quantification in Fine-tuned Llms Using Lora Ensembles, by Oleksandr Balabanov et al.
Uncertainty quantification in fine-tuned LLMs using LoRA ensemblesby Oleksandr Balabanov, Hampus LinanderFirst submitted to arxiv…
Summary of Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Models, by Himanshu Beniwal et al.
Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Modelsby Himanshu…
Summary of Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-correct Decoding, by Hanling Yi et al.
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decodingby Hanling Yi,…
Summary of Lora Training in the Ntk Regime Has No Spurious Local Minima, by Uijeong Jang et al.
LoRA Training in the NTK Regime has No Spurious Local Minimaby Uijeong Jang, Jason D.…
Summary of Invertible Fourier Neural Operators For Tackling Both Forward and Inverse Problems, by Da Long and Shandian Zhe
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problemsby Da Long, Shandian ZheFirst…