Large Language Model
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD Xiaoyi Dong
The Large Vision-Language Model (L VLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution.
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
The emergence of large language models (LLMs) has revolutionized the way we interact with graphs, leading to a new paradigm called GraphLLM.
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
Multimodal large language models (MLLMs) have demonstrated impressive capabilities across various vision-language tasks.
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Lingam Atula T ejaswi Aditya V avre
Large-scale foundation models are often adapted for specific downstream tasks after pre-training.
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
We find that the ability of LLMs to maintain consistency varies across different moral scenarios.