Summary of Increasing Model Capacity For Free: a Simple Strategy For Parameter Efficient Fine-tuning, by Haobo Song et al.
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningby Haobo Song, Hao…
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningby Haobo Song, Hao…
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answeringby Guohao Sun, Can Qin, Huazhu…
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignmentby Jihao Liu, Xin Huang, Jinliang Zheng,…
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scaleby Junying Chen, Chi Gui,…
Length Optimization in Conformal Predictionby Shayan Kiyani, George Pappas, Hamed HassaniFirst submitted to arxiv on:…
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Modelsby Vikas Yadav, Hyuk…
Training-Free Exponential Context Extension via Cascading KV Cacheby Jeffrey Willette, Heejun Lee, Youngwan Lee, Myeongjae…
CaLMQA: Exploring culturally specific long-form question answering across 23 languagesby Shane Arora, Marzena Karpinska, Hung-Ting…
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMsby Wenqian Ye, Guangtao Zheng, Yunsheng…
MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Modelsby Wentian Wang, Sarthak Jain,…