Summary of Evaluating Large Language Models For Public Health Classification and Extraction Tasks, by Joshua Harris et al.
Evaluating Large Language Models for Public Health Classification and Extraction Tasksby Joshua Harris, Timothy Laurence,…
Summary of Wise: Rethinking the Knowledge Memory For Lifelong Model Editing Of Large Language Models, by Peng Wang et al.
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Modelsby Peng Wang,…
Summary of Integer Scale: a Free Lunch For Faster Fine-grained Quantization Of Llms, by Qingyuan Li et al.
Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMsby Qingyuan Li, Ran Meng,…
Summary of Mitigating Quantization Errors Due to Activation Spikes in Glu-based Llms, by Jaewoo Yang et al.
Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMsby Jaewoo Yang, Hayun Kim, Younghoon…
Summary of Wordgame: Efficient & Effective Llm Jailbreak Via Simultaneous Obfuscation in Query and Response, by Tianrong Zhang et al.
WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Responseby Tianrong Zhang,…
Summary of Your Transformer Is Secretly Linear, by Anton Razzhigaev et al.
Your Transformer is Secretly Linearby Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets,…
Summary of Adaptive Feature-based Low-rank Compression Of Large Language Models Via Bayesian Optimization, by Yixin Ji et al.
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimizationby Yixin Ji, Yang Xiang,…
Summary of Low-rank Adaptation Of Time Series Foundational Models For Out-of-domain Modality Forecasting, by Divij Gupta et al.
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecastingby Divij Gupta, Anubhav Bhatti,…
Summary of Many-shot In-context Learning in Multimodal Foundation Models, by Yixing Jiang et al.
Many-Shot In-Context Learning in Multimodal Foundation Modelsby Yixing Jiang, Jeremy Irvin, Ji Hun Wang, Muhammad…
Summary of Dynamic Activation Pitfalls in Llama Models: An Empirical Study, by Chi Ma et al.
Dynamic Activation Pitfalls in LLaMA Models: An Empirical Studyby Chi Ma, Mincong Huang, Chao Wang,…