Alternatives and similar repositories for IdealGPT:

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

• zwq2018 / Multi-modal-Self-instruct
  The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…
  ☆74Updated 2 months ago
• yihedeng9 / STIC
  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
  ☆65Updated 10 months ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆70Updated 4 months ago
• MAmmoTH-VL / MAmmoTH-VL
  MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
  ☆35Updated 3 months ago
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆81Updated 11 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆70Updated 9 months ago
• pkunlp-icler / MIC
  MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU
  ☆47Updated last year
• vlf-silkie / VLFeedback
  ☆95Updated last year
• VisualWebBench / VisualWebBench
  Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"
  ☆50Updated 5 months ago
• edchengg / infoseek_eval
  EMNLP2023 - InfoSeek: A New VQA Benchmark focus on Visual Info-Seeking Questions
  ☆21Updated 10 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…
  ☆77Updated last month
• joez17 / VideoNIAH
  VideoNIAH: A Flexible Synthetic Method for Benchmarking Video MLLMs
  ☆46Updated 3 weeks ago
• patrick-tssn / VideoHallucer
  VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)
  ☆27Updated this week
• HYPJUDY / Sparkles
  Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
  ☆43Updated 9 months ago
• findalexli / mllm-dpo
  [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model
  ☆40Updated 4 months ago
• zjunlp / Deco
  [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  ☆47Updated 3 months ago
• YuxiXie / V-DPO
  Preference Learning for LLaVA
  ☆41Updated 4 months ago
• PVIT-official / PVIT
  Repository of paper: Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models
  ☆37Updated last year
• rohan598 / ConTextual
  ☆25Updated 8 months ago
• Yuqifan1117 / HalluciDoctor
  HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)
  ☆44Updated 8 months ago
• bcdnlp / FAITHSCORE
  ☆28Updated 3 weeks ago
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆32Updated last year
• haoyiq114 / VALOR
  Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)
  ☆16Updated 11 months ago
• ChenDelong1999 / polite-flamingo
  🦩 Visual Instruction Tuning with Polite Flamingo - training multi-modal LLMs to be both clever and polite! (AAAI-24 Oral)
  ☆64Updated last year
• FudanDISC / ReForm-Eval
  An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
  ☆46Updated last year
• TencentARC / GVT
  Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".
  ☆59Updated last year
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆86Updated last year
• RifleZhang / LLaVA-Reasoner-DPO
  ☆70Updated 2 months ago
• AoiDragon / POPE
  [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''
  ☆82Updated last year
• Letian2003 / C-VQA
  Counterfactual Reasoning VQA Dataset
  ☆24Updated last year