MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper
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2310.09478
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Published
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19
llm
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Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Paper • 2310.08678 • Published • 12 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 242 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 11 -
Baichuan 2: Open Large-scale Language Models
Paper • 2309.10305 • Published • 19 -
Qwen Technical Report
Paper • 2309.16609 • Published • 34 -
Code Llama: Open Foundation Models for Code
Paper • 2308.12950 • Published • 22 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10 -
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Paper • 2309.08958 • Published • 2 -
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning
Paper • 2310.11716 • Published • 5 -
AlpaGasus: Training A Better Alpaca with Fewer Data
Paper • 2307.08701 • Published • 22 -
XGen-7B Technical Report
Paper • 2309.03450 • Published • 8 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 40 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 47 -
u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model
Paper • 2311.05348 • Published • 11 -
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper • 2311.07574 • Published • 14 -
Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 10 -
Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases
Paper • 2312.15011 • Published • 15 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
GPT-4V(ision) is a Generalist Web Agent, if Grounded
Paper • 2401.01614 • Published • 21 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 26 -
Mixtral of Experts
Paper • 2401.04088 • Published • 159 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 71 -
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Paper • 2401.10935 • Published • 4 -
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
Paper • 2401.16158 • Published • 18 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 49 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 40 -
Video ReCap: Recursive Captioning of Hour-Long Videos
Paper • 2402.13250 • Published • 25