Summary of From Bytes to Borsch: Fine-tuning Gemma and Mistral For the Ukrainian Language Representation, by Artur Kiulian et al.
From Bytes to Borsch: Fine-Tuning Gemma and Mistral for the Ukrainian Language Representationby Artur Kiulian,…
Summary of Exploring and Improving Drafts in Blockwise Parallel Decoding, by Taehyeon Kim et al.
Exploring and Improving Drafts in Blockwise Parallel Decodingby Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni,…
Summary of Knowledgeable Agents by Offline Reinforcement Learning From Large Language Model Rollouts, By Jing-cheng Pang et al.
Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rolloutsby Jing-Cheng Pang, Si-Hang Yang,…
Summary of On Speculative Decoding For Multimodal Large Language Models, by Mukul Gagrani et al.
On Speculative Decoding for Multimodal Large Language Modelsby Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung…
Summary of Chimpvlm: Ethogram-enhanced Chimpanzee Behaviour Recognition, by Otto Brookes et al.
ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour Recognitionby Otto Brookes, Majid Mirmehdi, Hjalmar Kuhl, Tilo BurghardtFirst submitted to…
Summary of Training a Vision Language Model As Smartphone Assistant, by Nicolai Dorka et al.
Training a Vision Language Model as Smartphone Assistantby Nicolai Dorka, Janusz Marecki, Ammar AnwarFirst submitted…
Summary of Politune: Analyzing the Impact Of Data Selection and Fine-tuning on Economic and Political Biases in Large Language Models, by Ahmed Agiza et al.
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in…
Summary of Toward a Theory Of Tokenization in Llms, by Nived Rajaraman and Jiantao Jiao and Kannan Ramchandran
Toward a Theory of Tokenization in LLMsby Nived Rajaraman, Jiantao Jiao, Kannan RamchandranFirst submitted to…
Summary of Variance-reduced Zeroth-order Methods For Fine-tuning Language Models, by Tanmay Gautam et al.
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Modelsby Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman,…
Summary of Recurrentgemma: Moving Past Transformers For Efficient Open Language Models, by Aleksandar Botev et al.
RecurrentGemma: Moving Past Transformers for Efficient Open Language Modelsby Aleksandar Botev, Soham De, Samuel L…