Internlm-xcomposer-2.5: A versatile large vision language model supporting long-contextual input and output
We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that
supports long-contextual input and output. IXC-2.5 excels in various text-image …
supports long-contextual input and output. IXC-2.5 excels in various text-image …
Building Math Agents with Multi-Turn Iterative Preference Learning
Recent studies have shown that large language models'(LLMs) mathematical problem-
solving capabilities can be enhanced by integrating external tools, such as code …
solving capabilities can be enhanced by integrating external tools, such as code …
LLMs Meet Multimodal Generation and Editing: A Survey
With the recent advancement in large language models (LLMs), there is a growing interest in
combining LLMs with multimodal learning. Previous surveys of multimodal large language …
combining LLMs with multimodal learning. Previous surveys of multimodal large language …
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
The emergence of Vision Language Models (VLMs) has brought unprecedented advances
in understanding multimodal information. The combination of textual and visual semantics in …
in understanding multimodal information. The combination of textual and visual semantics in …
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Direct preference optimization (DPO) has shown to be an effective method for large
language model (LLM) alignment. Recent works have attempted to apply DPO to multimodal …
language model (LLM) alignment. Recent works have attempted to apply DPO to multimodal …
NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models
Multimodal large language models (MLLMs) contribute a powerful mechanism to
understanding visual information building on large language models. However, MLLMs are …
understanding visual information building on large language models. However, MLLMs are …
LLaVA-Critic: Learning to Evaluate Multimodal Models
T Xiong, X Wang, D Guo, Q Ye, H Fan, Q Gu… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce LLaVA-Critic, the first open-source large multimodal model (LMM) designed as
a generalist evaluator to assess performance across a wide range of multimodal tasks …
a generalist evaluator to assess performance across a wide range of multimodal tasks …
[PDF][PDF] Assessing Audio Hallucination in Large Multimodal Models
S Hanamaki, N Kirishima, S Narumi - osf.io
Speech recognition systems have become increasingly integral in various applications, from
virtual assistants to automated transcription services, necessitating the development of …
virtual assistants to automated transcription services, necessitating the development of …