Summary of Atp: Enabling Fast Llm Serving Via Attention on Top Principal Keys, by Yue Niu et al.
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keysby Yue Niu, Saurav Prakash,…
Summary of Orchid: Flexible and Data-dependent Convolution For Sequence Modeling, by Mahdi Karami and Ali Ghodsi
Orchid: Flexible and Data-Dependent Convolution for Sequence Modelingby Mahdi Karami, Ali GhodsiFirst submitted to arxiv…
Summary of Massive Activations in Large Language Models, by Mingjie Sun et al.
Massive Activations in Large Language Modelsby Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang LiuFirst…
Summary of Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset, by Santosh T.y.s.s et al.
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Datasetby Santosh T.Y.S.S,…
Summary of Deep Learning Approaches For Improving Question Answering Systems in Hepatocellular Carcinoma Research, by Shuning Huo et al.
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Researchby Shuning Huo, Yafei…
Summary of Evaluating the Performance Of Chatgpt For Spam Email Detection, by Shijing Si et al.
Evaluating the Performance of ChatGPT for Spam Email Detectionby Shijing Si, Yuwei Wu, Le Tang,…
Summary of Dual Encoder: Exploiting the Potential Of Syntactic and Semantic For Aspect Sentiment Triplet Extraction, by Xiaowei Zhao et al.
Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extractionby Xiaowei…
Summary of Improving Language Understanding From Screenshots, by Tianyu Gao et al.
Improving Language Understanding from Screenshotsby Tianyu Gao, Zirui Wang, Adithya Bhaskar, Danqi ChenFirst submitted to…
Summary of Uncovering Latent Human Wellbeing in Language Model Embeddings, by Pedro Freire et al.
Uncovering Latent Human Wellbeing in Language Model Embeddingsby Pedro Freire, ChengCheng Tan, Adam Gleave, Dan…
Summary of A Curious Case Of Searching For the Correlation Between Training Data and Adversarial Robustness Of Transformer Textual Models, by Cuong Dang et al.
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of…