Summary of On the Role Of Discrete Tokenization in Visual Representation Learning, by Tianqi Du et al.
On the Role of Discrete Tokenization in Visual Representation Learningby Tianqi Du, Yifei Wang, Yisen…
Summary of Characterizing Prompt Compression Methods For Long Context Inference, by Siddharth Jha et al.
Characterizing Prompt Compression Methods for Long Context Inferenceby Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim,…
Summary of Transformer Block Coupling and Its Correlation with Generalization in Llms, by Murdock Aubry et al.
Transformer Block Coupling and its Correlation with Generalization in LLMsby Murdock Aubry, Haoming Meng, Anton…
Summary of Uncovering Layer-dependent Activation Sparsity Patterns in Relu Transformers, by Cody Wild et al.
Uncovering Layer-Dependent Activation Sparsity Patterns in ReLU Transformersby Cody Wild, Jesper AndersonFirst submitted to arxiv…
Summary of Pruning One More Token Is Enough: Leveraging Latency-workload Non-linearities For Vision Transformers on the Edge, by Nick John Eliopoulos et al.
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edgeby…
Summary of Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers, by Terry Tong et al.
Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggersby Terry Tong, Jiashu Xu, Qin Liu,…
Summary of Let the Code Llm Edit Itself When You Edit the Code, by Zhenyu He et al.
Let the Code LLM Edit Itself When You Edit the Codeby Zhenyu He, Jun Zhang,…
Summary of Neurocache: Efficient Vector Retrieval For Long-range Language Modeling, by Ali Safaya et al.
Neurocache: Efficient Vector Retrieval for Long-range Language Modelingby Ali Safaya, Deniz YuretFirst submitted to arxiv…
Summary of Diffusion Forcing: Next-token Prediction Meets Full-sequence Diffusion, by Boyuan Chen et al.
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusionby Boyuan Chen, Diego Marti Monso, Yilun Du, Max…
Summary of Calibrated Large Language Models For Binary Question Answering, by Patrizio Giovannotti and Alexander Gammerman
Calibrated Large Language Models for Binary Question Answeringby Patrizio Giovannotti, Alexander GammermanFirst submitted to arxiv…