Alternatives and similar repositories for COINCIDE_code

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

• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆45Updated 9 months ago
• ys-zong / VL-ICL
  [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
  ☆54Updated 3 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆73Updated 11 months ago
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆39Updated 4 months ago
• 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 2 months ago
• Lackel / AGLA
  [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
  ☆32Updated 9 months ago
• simplelifetime / TIVE
  Less is More: High-value Data Selection for Visual Instruction Tuning
  ☆12Updated 3 months ago
• umd-huang-lab / SIMA
  ☆9Updated last week
• yaolinli / DeCo
  ☆35Updated 10 months ago
• haoyiq114 / VALOR
  Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)
  ☆16Updated last year
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆73Updated 6 months ago
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆47Updated 3 months ago
• thunlp / DeepPerception
  DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
  ☆52Updated last month
• mrwu-mac / R-Bench
  [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'
  ☆20Updated 4 months ago
• mengcaopku / Continual-LLaVA
  ☆16Updated 6 months ago
• Qinyu-Allen-Zhao / LVLM-LP
  The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
  ☆29Updated 6 months ago
• xing0047 / cca-llava
  [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention
  ☆53Updated 4 months ago
• princetonvisualai / icons
  ☆14Updated 2 weeks ago
• bronyayang / HallE_Control
  HallE-Control: Controlling Object Hallucination in LMMs
  ☆30Updated last year
• RayRuiboChen / Self-Filter
  ☆23Updated 11 months ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 6 months ago
• UW-Madison-Lee-Lab / CoBSAT
  Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"
  ☆38Updated last month
• wuxiyang1996 / AutoHallusion
  AutoHallusion Codebase (EMNLP 2024)
  ☆20Updated 5 months ago
• sangminwoo / RITUAL
  Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…
  ☆10Updated 4 months ago
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆65Updated 11 months ago
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆32Updated 7 months ago
• meetdavidwan / crg
  PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"
  ☆34Updated last year
• zjunlp / Deco
  [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  ☆74Updated 5 months ago
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆48Updated 6 months ago
• wenhuang2000 / VHTest
  VHTest
  ☆13Updated 6 months ago