Alternatives and similar repositories for CLIP-Guided-Decoding

Users that are interested in CLIP-Guided-Decoding are comparing it to the libraries listed below

• junyangwang0410 / HaELM
  An automatic MLLM hallucination detection framework
  ☆19Updated last year
• JiwanChung / vlis
  ☆24Updated last year
• FreedomIntelligence / TRIM
  We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…
  ☆14Updated 8 months ago
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆33Updated last year
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆48Updated 9 months ago
• bcdnlp / FAITHSCORE
  FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
  ☆30Updated 5 months ago
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆43Updated 10 months ago
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆48Updated last year
• sangminwoo / AvisC
  [ACL 2025 Findings] Official pytorch implementation of "Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vis…
  ☆18Updated last year
• kaistAI / Volcano
  [NAACL 2024] Vision language model that reduces hallucinations through self-feedback guided revision. Visualizes attentions on image feat…
  ☆46Updated last year
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆79Updated 9 months ago
• muirbench / MuirBench
  A Comprehensive Benchmark for Robust Multi-image Understanding
  ☆12Updated 11 months ago
• SivanDoveh / DAC
  Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl models
  ☆27Updated last year
• gzcch / Bingo
  ☆55Updated last year
• yiren-jian / BLIText
  [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
  ☆25Updated last year
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆55Updated 9 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆79Updated last year
• GasolSun36 / MVP
  Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
  ☆22Updated 11 months ago
• sIncerass / MVLPT
  code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720
  ☆57Updated last year
• mrwu-mac / R-Bench
  [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'
  ☆21Updated 7 months ago
• HenryHZY / VL-PET
  [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"
  ☆52Updated last year
• yfzhang114 / LLaVA-Align
  [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…
  ☆81Updated 6 months ago
• lscpku / VITATECS
  ☆18Updated last year
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆87Updated last year
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆17Updated last year
• umd-huang-lab / Mementos
  ☆31Updated last year
• lancopku / clip-openness
  [ACL 2023] Delving into the Openness of CLIP
  ☆23Updated 2 years ago
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 2 years ago
• jiaangli / VLCA
  Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
  ☆16Updated 9 months ago
• archiki / RepARe
  ☆19Updated last year