eric-ai-lab / MSSBenchLinks
[ICLR 2025] Official codebase for the ICLR 2025 paper "Multimodal Situational Safety"
☆23Updated 2 months ago
Alternatives and similar repositories for MSSBench
Users that are interested in MSSBench are comparing it to the libraries listed below
Sorting:
- ☆30Updated 5 months ago
- More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models☆53Updated 3 months ago
- ☆68Updated 10 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆84Updated 7 months ago
- ☆26Updated 4 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆83Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆59Updated 9 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆44Updated 3 months ago
- [ACL 2025] Data and Code for Paper VLSBench: Unveiling Visual Leakage in Multimodal Safety☆49Updated last month
- Pitfalls of Rule- and Model-based Verifiers: A Case Study on Mathematical Reasoning.☆23Updated 3 months ago
- ☆50Updated 2 months ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆45Updated 10 months ago
- ☆54Updated last month
- ☆38Updated 3 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆35Updated 10 months ago
- ☆48Updated 7 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆67Updated 2 months ago
- FeatureAlignment = Alignment + Mechanistic Interpretability☆29Updated 6 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated last year
- ☆21Updated 4 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆80Updated 10 months ago
- [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…☆42Updated last year
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆84Updated 3 months ago
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆30Updated 10 months ago
- ☆16Updated 3 months ago
- ☆30Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆76Updated 9 months ago
- Implementation of the MATRIX framework (ICML 2024)☆60Updated last year
- VHTest☆14Updated 10 months ago
- ☆166Updated 4 months ago