Alternatives and similar repositories for POPE

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

• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆89Updated last year
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆45Updated last year
• YiyangZhou / LURE
  [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
  ☆146Updated last year
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆52Updated 8 months ago
• patrick-tssn / VideoHallucer
  VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)
  ☆35Updated 3 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆76Updated last year
• 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 4 months ago
• 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''
  ☆211Updated last year
• bcdnlp / FAITHSCORE
  ☆30Updated 4 months ago
• RupertLuo / VoCoT
  VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
  ☆69Updated last year
• joez17 / VideoNIAH
  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs
  ☆47Updated 4 months ago
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆68Updated last year
• LALBJ / PAI
  [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
  ☆128Updated 8 months ago
• yaolinli / DeCo
  Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models
  ☆40Updated this week
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆76Updated 8 months ago
• RifleZhang / LLaVA-Hound-DPO
  ☆152Updated 8 months ago
• thunlp / DeepPerception
  DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
  ☆64Updated last month
• Liuziyu77 / MIA-DPO
  Official implement of MIA-DPO
  ☆59Updated 5 months ago
• RifleZhang / LLaVA-Reasoner-DPO
  ☆83Updated 6 months ago
• junyangwang0410 / AMBER
  An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation
  ☆126Updated last year
• vlf-silkie / VLFeedback
  ☆100Updated last year
• BAAI-DCAI / DataOptim
  A collection of visual instruction tuning datasets.
  ☆76Updated last year
• vinid / neg_clip
  NegCLIP.
  ☆32Updated 2 years ago
• llyx97 / TempCompass
  [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …
  ☆118Updated 3 months ago
• X-PLUG / mPLUG-HalOwl
  mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating
  ☆95Updated last year
• longvideobench / LongVideoBench
  [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.
  ☆102Updated 11 months ago
• pengts / VW-LMM
  ☆25Updated last year
• bronyayang / HallE_Control
  HallE-Control: Controlling Object Hallucination in LMMs
  ☆31Updated last year
• foundation-multimodal-models / CAL
  [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
  ☆58Updated 9 months ago