Summary of Segmenting Watermarked Texts From Language Models, by Xingchi Li et al.
Segmenting Watermarked Texts From Language Modelsby Xingchi Li, Guanxun Li, Xianyang ZhangFirst submitted to arxiv…
Summary of Simple Is Effective: the Roles Of Graphs and Large Language Models in Knowledge-graph-based Retrieval-augmented Generation, by Mufei Li et al.
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generationby…
Summary of Plan*rag: Efficient Test-time Planning For Retrieval Augmented Generation, by Prakhar Verma et al.
Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generationby Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha,…
Summary of Centaur: a Foundation Model Of Human Cognition, by Marcel Binz et al.
Centaur: a foundation model of human cognitionby Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle,…
Summary of Chemical Language Model Linker: Blending Text and Molecules with Modular Adapters, by Yifan Deng et al.
Chemical Language Model Linker: blending text and molecules with modular adaptersby Yifan Deng, Spencer S.…
Summary of Improving Multimodal Large Language Models Using Continual Learning, by Shikhar Srivastava et al.
Improving Multimodal Large Language Models Using Continual Learningby Shikhar Srivastava, Md Yousuf Harun, Robik Shrestha,…
Summary of Computational Bottlenecks Of Training Small-scale Large Language Models, by Saleh Ashkboos et al.
Computational Bottlenecks of Training Small-scale Large Language Modelsby Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad…
Summary of Coat: Compressing Optimizer States and Activation For Memory-efficient Fp8 Training, by Haocheng Xi et al.
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Trainingby Haocheng Xi, Han Cai, Ligeng…
Summary of Notes on the Mathematical Structure Of Gpt Llm Architectures, by Spencer Becker-kahn
Notes on the Mathematical Structure of GPT LLM Architecturesby Spencer Becker-KahnFirst submitted to arxiv on:…
Summary of Peptide-gpt: Generative Design Of Peptides Using Generative Pre-trained Transformers and Bio-informatic Supervision, by Aayush Shah and Chakradhar Guntuboina and Amir Barati Farimani
Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervisionby Aayush Shah, Chakradhar…