Summary of Token Turing Machines Are Efficient Vision Models, by Purvish Jajal et al.
Token Turing Machines are Efficient Vision Modelsby Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou,…
Summary of Representation Tuning, by Christopher M. Ackerman
Representation Tuningby Christopher M. AckermanFirst submitted to arxiv on: 11 Sep 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Understanding Knowledge Drift in Llms Through Misinformation, by Alina Fastowski and Gjergji Kasneci
Understanding Knowledge Drift in LLMs through Misinformationby Alina Fastowski, Gjergji KasneciFirst submitted to arxiv on:…
Summary of Alleviating Hallucinations in Large Language Models with Scepticism Modeling, by Yetao Wu et al.
Alleviating Hallucinations in Large Language Models with Scepticism Modelingby Yetao Wu, Yihong Wang, Teng Chen,…
Summary of Da-moe: Towards Dynamic Expert Allocation For Mixture-of-experts Models, by Maryam Akhavan Aghdam et al.
DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Modelsby Maryam Akhavan Aghdam, Hongpeng Jin, Yanzhao WuFirst…
Summary of Vila-u: a Unified Foundation Model Integrating Visual Understanding and Generation, by Yecheng Wu et al.
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generationby Yecheng Wu, Zhuoyang Zhang, Junyu…
Summary of Residual Stream Analysis with Multi-layer Saes, by Tim Lawson et al.
Residual Stream Analysis with Multi-Layer SAEsby Tim Lawson, Lucy Farnik, Conor Houghton, Laurence AitchisonFirst submitted…
Summary of Preserving Empirical Probabilities in Bert For Small-sample Clinical Entity Recognition, by Abdul Rehman et al.
Preserving Empirical Probabilities in BERT for Small-sample Clinical Entity Recognitionby Abdul Rehman, Jian Jun Zhang,…
Summary of Masked Diffusion Models Are Secretly Time-agnostic Masked Models and Exploit Inaccurate Categorical Sampling, by Kaiwen Zheng et al.
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Samplingby Kaiwen Zheng,…
Summary of Deconfounded Causality-aware Parameter-efficient Fine-tuning For Problem-solving Improvement Of Llms, by Ruoyu Wang et al.
Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMsby Ruoyu Wang, Xiaoxuan Li, Lina YaoFirst…