jonathan-roberts1 / zerobenchLinks
Code, Data and Red Teaming for ZeroBench
☆46Updated 5 months ago
Alternatives and similar repositories for zerobench
Users that are interested in zerobench are comparing it to the libraries listed below
Sorting:
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆37Updated 4 months ago
- ☆50Updated last year
- ☆23Updated 4 months ago
- Preference Learning for LLaVA☆51Updated 11 months ago
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆58Updated 11 months ago
- Matryoshka Multimodal Models☆111Updated 8 months ago
- [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models☆78Updated 4 months ago
- ☆27Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- [NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models☆49Updated 5 months ago
- Multimodal RewardBench☆53Updated 7 months ago
- (ACL 2025) MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale☆48Updated 4 months ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆46Updated last year
- ☆43Updated 11 months ago
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆141Updated 3 weeks ago
- ☆45Updated 9 months ago
- [ICLR 2025] Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision☆70Updated last year
- Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurI…☆90Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆66Updated 4 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- ☆55Updated last year
- Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".☆62Updated last year
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆15Updated 10 months ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆39Updated 11 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated last year
- The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning" [NeurIPS25]☆157Updated 4 months ago
- ☆43Updated last year
- ☆17Updated 9 months ago
- [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO☆56Updated last month
- [ICML 2025] Code for "R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts"☆16Updated 7 months ago