CRIPAC-DIG / LogicCheckGPTLinks
[ACL 2024] Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. Detect and mitigate object hallucinations in LVLMs by itself through logical closed loops.
☆22Updated 5 months ago
Alternatives and similar repositories for LogicCheckGPT
Users that are interested in LogicCheckGPT are comparing it to the libraries listed below
Sorting:
- 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
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated last year
- [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…☆144Updated last week
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆76Updated 8 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆89Updated 7 months ago
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models☆69Updated last year
- ☆24Updated this week
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆74Updated 5 months ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆85Updated last year
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆76Updated last year
- [NeurIPS 2023]DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models☆44Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆52Updated 8 months ago
- ☆25Updated last year
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆146Updated last year
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆40Updated this week
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆61Updated 5 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆89Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆128Updated 8 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆68Updated last year
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆95Updated last year
- MME-CoT: Benchmarking Chain-of-Thought in LMMs for Reasoning Quality, Robustness, and Efficiency☆116Updated 3 weeks ago
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆63Updated 7 months ago
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆22Updated 10 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆31Updated 8 months ago
- ☆126Updated 5 months ago
- NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation☆78Updated last month
- ☆83Updated 6 months ago
- ☆15Updated 8 months ago
- [ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality☆33Updated last week
- ☆75Updated last year