Alternatives and similar repositories for vision-language-models-are-bows

Users that are interested in vision-language-models-are-bows are comparing it to the libraries listed below

• yossigandelsman / clip_text_span
  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
  ☆215Updated 3 weeks ago
• tsb0601 / MMVP
  ☆337Updated last year
• FuxiaoLiu / LRV-Instruction
  [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
  ☆280Updated last year
• RUCAIBox / POPE
  The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆209Updated last year
• RAIVNLab / sugar-crepe
  [NeurIPS 2023] A faithful benchmark for vision-language compositionality
  ☆80Updated last year
• DAMO-NLP-SG / VCD
  [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
  ☆285Updated 8 months ago
• sachit-menon / classify_by_description_release
  ☆167Updated last year
• tianyi-lab / HallusionBench
  [CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(…
  ☆286Updated 7 months ago
• allenai / aokvqa
  Official repository for the A-OKVQA dataset
  ☆86Updated last year
• NishilBalar / Awesome-LVLM-Hallucination
  up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources
  ☆138Updated last month
• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆282Updated last year
• zjysteven / VLM-Visualizer
  Visualizing the attention of vision-language models
  ☆188Updated 3 months ago
• YiyangZhou / LURE
  [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
  ☆145Updated last year
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆84Updated last year
• Yui010206 / SeViLA
  [NeurIPS 2023] Self-Chained Image-Language Model for Video Localization and Question Answering
  ☆185Updated last year
• BAAI-DCAI / Visual-Instruction-Tuning
  SVIT: Scaling up Visual Instruction Tuning
  ☆163Updated last year
• sarahpratt / CuPL
  ☆191Updated 2 years ago
• IntelLabs / lvlm-interpret
  ☆83Updated 2 months ago
• amazon-science / QA-ViT
  ☆66Updated 11 months ago
• xieyuquanxx / awesome-Large-MultiModal-Hallucination
  😎 curated list of awesome LMM hallucinations papers, methods & resources.
  ☆149Updated last year
• facebookresearch / DCI
  Densely Captioned Images (DCI) dataset repository.
  ☆185Updated 11 months ago
• bronyayang / Law_of_Vision_Representation_in_MLLMs
  Official implementation of the Law of Vision Representation in MLLMs
  ☆156Updated 7 months ago
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆86Updated last year
• PLUM-Lab / MultiInstruct
  MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
  ☆135Updated 2 years ago
• nickjiang2378 / vl-interp
  Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)
  ☆75Updated 3 weeks ago
• AILab-CVC / SEED-Bench
  (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
  ☆343Updated 5 months ago
• allenai / close
  ☆59Updated last year
• BAAI-DCAI / DataOptim
  A collection of visual instruction tuning datasets.
  ☆76Updated last year
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆88Updated last year
• yuhui-zh15 / VLMClassifier
  Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)
  ☆85Updated 8 months ago