Alternatives and similar repositories for mhal-detect

Users that are interested in mhal-detect are comparing it to the libraries listed below

• yfzhang114 / LLaVA-Align
  This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…
  ☆78Updated 3 months ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆74Updated 6 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆74Updated 11 months ago
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆88Updated last year
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆45Updated 10 months ago
• mrwu-mac / R-Bench
  [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'
  ☆21Updated 5 months ago
• ys-zong / VL-ICL
  [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
  ☆56Updated 4 months ago
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆50Updated 7 months ago
• haoyiq114 / VALOR
  Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)
  ☆17Updated last year
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆86Updated last year
• RUCAIBox / POPE
  The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆207Updated last year
• YiyangZhou / LURE
  [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
  ☆146Updated last year
• bcdnlp / FAITHSCORE
  ☆28Updated 2 months ago
• pkunlp-icler / MIC
  MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU
  ☆47Updated last year
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆67Updated last year
• Lackel / AGLA
  [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
  ☆34Updated 10 months ago
• edchengg / infoseek_eval
  EMNLP2023 - InfoSeek: A New VQA Benchmark focus on Visual Info-Seeking Questions
  ☆23Updated last year
• allenai / aokvqa
  Official repository for the A-OKVQA dataset
  ☆84Updated last year
• vlf-silkie / VLFeedback
  ☆99Updated last year
• waltonfuture / InstructionGPT-4
  InstructionGPT-4
  ☆39Updated last year
• vinid / neg_clip
  NegCLIP.
  ☆32Updated 2 years ago
• allenai / close
  ☆59Updated last year
• Maxlinn / CHAIR-metric-standalone
  CHAIR metric is a rule-based metric for evaluating object hallucination in caption generation.
  ☆29Updated last year
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆83Updated last year
• nickjiang2378 / vl-interp
  Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)
  ☆73Updated last week
• palchenli / VL-Instruction-Tuning
  ☆91Updated last year
• PLUM-Lab / MultiInstruct
  MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
  ☆135Updated last year
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆45Updated 6 months ago
• LisaAnne / Hallucination
  ☆70Updated 6 years ago
• RAIVNLab / sugar-crepe
  [NeurIPS 2023] A faithful benchmark for vision-language compositionality
  ☆79Updated last year