Summary of Time Machine Gpt, by Felix Drinkall et al.
Time Machine GPTby Felix Drinkall, Eghbal Rahimikia, Janet B. Pierrehumbert, Stefan ZohrenFirst submitted to arxiv…
Summary of Do Vision & Language Decoders Use Images and Text Equally? How Self-consistent Are Their Explanations?, by Letitia Parcalabescu and Anette Frank
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?by…
Summary of Can Perplexity Predict Fine-tuning Performance? An Investigation Of Tokenization Effects on Sequential Language Models For Nepali, by Nishant Luitel et al.
Can Perplexity Predict Fine-Tuning Performance? An Investigation of Tokenization Effects on Sequential Language Models for…
Summary of Probabilistic Inference in Language Models Via Twisted Sequential Monte Carlo, by Stephen Zhao et al.
Probabilistic Inference in Language Models via Twisted Sequential Monte Carloby Stephen Zhao, Rob Brekelmans, Alireza…
Summary of Watch Out For Your Guidance on Generation! Exploring Conditional Backdoor Attacks Against Large Language Models, by Jiaming He et al.
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Modelsby…
Summary of Openelm: An Efficient Language Model Family with Open Training and Inference Framework, by Sachin Mehta and Mohammad Hossein Sekhavat and Qingqing Cao and Maxwell Horton and Yanzi Jin and Chenfan Sun and Iman Mirzadeh and Mahyar Najibi and Dmitry Belenko and Peter Zatloukal and Mohammad Rastegari
OpenELM: An Efficient Language Model Family with Open Training and Inference Frameworkby Sachin Mehta, Mohammad…
Summary of An Empirical Study Of Llama3 Quantization: From Llms to Mllms, by Wei Huang et al.
An empirical study of LLaMA3 quantization: from LLMs to MLLMsby Wei Huang, Xingyu Zheng, Xudong…
Summary of Automated Text Mining Of Experimental Methodologies From Biomedical Literature, by Ziqing Guo
Automated Text Mining of Experimental Methodologies from Biomedical Literatureby Ziqing GuoFirst submitted to arxiv on:…
Summary of Prompt Optimizer Of Text-to-image Diffusion Models For Abstract Concept Understanding, by Zezhong Fan et al.
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understandingby Zezhong Fan, Xiaohan Li, Chenhao…
Summary of Legalpro-bert: Classification Of Legal Provisions by Fine-tuning Bert Large Language Model, By Amit Tewari
LegalPro-BERT: Classification of Legal Provisions by fine-tuning BERT Large Language Modelby Amit TewariFirst submitted to…