Summary of Dede: Detecting Backdoor Samples For Ssl Encoders Via Decoders, by Sizai Hou et al.
DeDe: Detecting Backdoor Samples for SSL Encoders via Decodersby Sizai Hou, Songze Li, Duanyi YaoFirst…
Summary of Improving Next Tokens Via Second-to-last Predictions with Generate and Refine, by Johannes Schneider
Improving Next Tokens via Second-to-Last Predictions with Generate and Refineby Johannes SchneiderFirst submitted to arxiv…
Summary of Omni-iml: Towards Unified Image Manipulation Localization, by Chenfan Qu et al.
Omni-IML: Towards Unified Image Manipulation Localizationby Chenfan Qu, Yiwu Zhong, Fengjun Guo, Lianwen JinFirst submitted…
Summary of Vqalattent: a Transparent Speech Generation Pipeline Based on Transformer-learned Vq-vae Latent Space, by Armani Rodriguez and Silvija Kokalj-filipovic
VQalAttent: a Transparent Speech Generation Pipeline based on Transformer-learned VQ-VAE Latent Spaceby Armani Rodriguez, Silvija…
Summary of Multimodal Autoregressive Pre-training Of Large Vision Encoders, by Enrico Fini et al.
Multimodal Autoregressive Pre-training of Large Vision Encodersby Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter,…
Summary of Synehrgy: Synthesizing Mixed-type Structured Electronic Health Records Using Decoder-only Transformers, by Hojjat Karami et al.
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformersby Hojjat Karami, David Atienza, Anisoara…
Summary of Redpajama: An Open Dataset For Training Large Language Models, by Maurice Weber et al.
RedPajama: an Open Dataset for Training Large Language Modelsby Maurice Weber, Daniel Fu, Quentin Anthony,…
Summary of Towards a Framework on Tabular Synthetic Data Generation: a Minimalist Approach: Theory, Use Cases, and Limitations, by Yueyang Shen et al.
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and…
Summary of When Are 1.58 Bits Enough? a Bottom-up Exploration Of Bitnet Quantization, by Jacob Nielsen et al.
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantizationby Jacob Nielsen, Lukas Galke,…
Summary of Rethinking Decoders For Transformer-based Semantic Segmentation: a Compression Perspective, by Qishuai Wen and Chun-guang Li
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspectiveby Qishuai Wen, Chun-Guang LiFirst submitted to…