yiheng003

yiheng003's Stars

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  14.3k270135920

• rom1504/clip-retrieval

  Easily compute clip embeddings and build a clip retrieval system with them

  Language:Jupyter Notebook2.5k25234221

• EvolvingLMMs-Lab/lmms-eval

  Accelerating the development of large multimodal models (LMMs) with one-click evaluation module - lmms-eval.

  Language:Python2.2k7274221

• Xnhyacinth/Awesome-LLM-Long-Context-Modeling

  📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

  1.3k541045

• DAMO-NLP-SG/VideoLLaMA2

  VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

  Language:Python1.1k1013974

• bojone/rerope

  Rectified Rotary Position Embeddings

  Language:Python358112130

• AutoSurveys/AutoSurvey

  Language:Python35142831

• PrincetonUniversity/multi_gpu_training

  Language:Python3072347

• DAMO-NLP-SG/VCD

  [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

  Language:Python25263014

• oddmario/NVIDIA-Ubuntu-Driver-Guide

  A little guide to help you install & manage NVIDIA GPU driver on your Ubuntu system

  2476711

• microsoft/LongRoPE

  LongRoPE is a novel method that can extends the context window of pre-trained LLMs to an impressive 2048k tokens.

  Language:Python20431215

• facebookresearch/unibench

  Python Library to evaluate VLM models' robustness across diverse benchmarks

  Language:Jupyter Notebook1948914

• vitali-fedulov/images4

  Image similarity in Golang. Version 4 (LATEST)

  Language:Go951310

• zhangbaijin/From-Redundancy-to-Relevance

  [NAACL 2025 Oral] From redundancy to relevance: Enhancing explainability in multimodal large language models

  Language:Python872106

• Baiqi-Li/NaturalBench

  🚀 [NeurIPS24] Make Vision Matter in Visual-Question-Answering (VQA)! Introducing NaturalBench, a vision-centric VQA benchmark (NeurIPS'24) that challenges vision-language models with simple questions about natural imagery.

  Language:Python711009

• xing0047/cca-llava

  [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention

  Language:Python49261

• joez17/VideoNIAH

  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs

  Language:Python45150

• DAMO-NLP-SG/CMM

  ✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

  Language:Python43412

• niejiahao1998/MMRel

  27122

• visual-haystacks/vhs_benchmark

  🔥 [ICLR 2025] Official Benchmark Toolkits for "Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark"

  Language:Python25121

• Houtx/AI-

  Prompts of GPT-4V & DALL-E3 to full utilize the multi-modal ability. GPT4V Prompts, DALL-E3 Prompts.

  1000