Summary of Information Theoretic Text-to-image Alignment, by Chao Wang et al.
Information Theoretic Text-to-Image Alignmentby Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro MichiardiFirst submitted…
Summary of Deep Learning Without Weight Symmetry, by Li Ji-an et al.
Deep Learning without Weight Symmetryby Li Ji-An, Marcus K. BennaFirst submitted to arxiv on: 31…
Summary of Transfer Q Star: Principled Decoding For Llm Alignment, by Souradip Chakraborty et al.
Transfer Q Star: Principled Decoding for LLM Alignmentby Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin,…
Summary of Unified Explanations in Machine Learning Models: a Perturbation Approach, by Jacob Dineen et al.
Unified Explanations in Machine Learning Models: A Perturbation Approachby Jacob Dineen, Don Kridel, Daniel Dolk,…
Summary of Postdoc: Generating Poster From a Long Multimodal Document Using Deep Submodular Optimization, by Vijay Jaisankar et al.
PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimizationby Vijay Jaisankar, Sambaran…
Summary of Boost Your Own Human Image Generation Model Via Direct Preference Optimization with Ai Feedback, by Sanghyeon Na et al.
Boost Your Own Human Image Generation Model via Direct Preference Optimization with AI Feedbackby Sanghyeon…
Summary of The Empirical Impact Of Neural Parameter Symmetries, or Lack Thereof, by Derek Lim et al.
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereofby Derek Lim, Theo Moe Putterman,…
Summary of Preference Alignment with Flow Matching, by Minu Kim et al.
Preference Alignment with Flow Matchingby Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong,…
Summary of Learning From Random Demonstrations: Offline Reinforcement Learning with Importance-sampled Diffusion Models, by Zeyu Fang et al.
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Modelsby Zeyu Fang, Tian LanFirst…
Summary of Is In-context Learning Sufficient For Instruction Following in Llms?, by Hao Zhao et al.
Is In-Context Learning Sufficient for Instruction Following in LLMs?by Hao Zhao, Maksym Andriushchenko, Francesco Croce,…