Summary of Not All Prompts Are Made Equal: Prompt-based Pruning Of Text-to-image Diffusion Models, by Alireza Ganjdanesh et al.
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Modelsby Alireza Ganjdanesh, Reza…
Summary of Uniglm: Training One Unified Language Model For Text-attributed Graph Embedding, by Yi Fang et al.
UniGLM: Training One Unified Language Model for Text-Attributed Graph Embeddingby Yi Fang, Dongzhe Fan, Sirui…
Summary of Adding Conditional Control to Diffusion Models with Reinforcement Learning, by Yulai Zhao et al.
Adding Conditional Control to Diffusion Models with Reinforcement Learningby Yulai Zhao, Masatoshi Uehara, Gabriele Scalia,…
Summary of Lilium: Ebay’s Large Language Models For E-commerce, by Christian Herold and Michael Kozielski and Leonid Ekimov and Pavel Petrushkov and Pierre-yves Vandenbussche and Shahram Khadivi
LiLiuM: eBay’s Large Language Models for e-commerceby Christian Herold, Michael Kozielski, Leonid Ekimov, Pavel Petrushkov,…
Summary of Mmdu: a Multi-turn Multi-image Dialog Understanding Benchmark and Instruction-tuning Dataset For Lvlms, by Ziyu Liu et al.
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMsby Ziyu Liu, Tao…
Summary of Digirl: Training In-the-wild Device-control Agents with Autonomous Reinforcement Learning, by Hao Bai et al.
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learningby Hao Bai, Yifei Zhou, Mert Cemri,…
Summary of Measuring Memorization in Rlhf For Code Completion, by Aneesh Pappu et al.
Measuring memorization in RLHF for code completionby Aneesh Pappu, Billy Porter, Ilia Shumailov, Jamie HayesFirst…
Summary of A Semantic-aware Layer-freezing Approach to Computation-efficient Fine-tuning Of Language Models, by Jian Gu et al.
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Modelsby Jian Gu, Aldeida Aleti, Chunyang…
Summary of Gecobench: a Gender-controlled Text Dataset and Benchmark For Quantifying Biases in Explanations, by Rick Wilming et al.
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanationsby Rick Wilming, Artur…
Summary of Pre-training and Personalized Fine-tuning Via Over-the-air Federated Meta-learning: Convergence-generalization Trade-offs, by Haifeng Wen et al.
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offsby Haifeng Wen, Hong Xing, Osvaldo…