Alternatives and similar repositories for MACAROON:

Users that are interested in MACAROON are comparing it to the libraries listed below

• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆32Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆41Updated 4 months ago
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆65Updated 9 months ago
• ajd12342 / why-winoground-hard
  Code for 'Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality', EMNLP 2022
  ☆30Updated last year
• shizhediao / DaVinci
  Source code for the paper "Prefix Language Models are Unified Modal Learners"
  ☆43Updated last year
• Hritikbansal / jpo
  ☆12Updated 2 months ago
• psunlpgroup / VisOnlyQA
  This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…
  ☆22Updated 3 months ago
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆40Updated 4 months ago
• VisualWebBench / VisualWebBench
  Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"
  ☆49Updated 4 months ago
• haoyiq114 / VALOR
  Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)
  ☆15Updated 10 months ago
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆80Updated 10 months ago
• rabiulcste / vqazero
  visual question answering prompting recipes for large vision-language models
  ☆24Updated 6 months ago
• HYPJUDY / Sparkles
  Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
  ☆43Updated 9 months ago
• SumilerGAO / SunGen
  ☆25Updated 2 years ago
• amitakamath / whatsup_vlms
  Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".
  ☆42Updated last year
• archiki / RepARe
  ☆19Updated last year
• Hxyou / IdealGPT
  Official Code of IdealGPT
  ☆34Updated last year
• hanmenghan / Skip-n
  This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.
  ☆13Updated last year
• lancopku / clip-openness
  [ACL 2023] Delving into the Openness of CLIP
  ☆23Updated 2 years ago
• lscpku / VITATECS
  ☆17Updated 8 months ago
• princeton-nlp / PTP
  Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
  ☆27Updated 8 months ago
• nickjiang2378 / vl-interp
  Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)
  ☆61Updated 2 weeks ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆43Updated 7 months ago
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆24Updated 7 months ago
• tianyi-lab / Mosaic-IT
  Mosaic IT: Enhancing Instruction Tuning with Data Mosaics
  ☆17Updated last month
• kaistAI / Volcano
  [NAACL 2024] Vision language model that reduces hallucinations through self-feedback guided revision. Visualizes attentions on image feat…
  ☆44Updated 6 months ago
• pipilurj / bootstrapped-preference-optimization-BPO
  code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"
  ☆54Updated 6 months ago
• TobiasLee / VEC
  Visual and Embodied Concepts evaluation benchmark
  ☆21Updated last year
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆15Updated 11 months ago