| CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models | Mar 20, 2025 | Code GenerationMultiple-choice | —Unverified | 0 |
| Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation | Mar 20, 2025 | Multiple-choiceText Generation | CodeCode Available | 0 |
| AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models | Mar 20, 2025 | Autonomous DrivingMultiple-choice | —Unverified | 0 |
| VisNumBench: Evaluating Number Sense of Multimodal Large Language Models | Mar 19, 2025 | Multiple-choice | —Unverified | 0 |
| FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding | Mar 19, 2025 | BenchmarkingMultiple-choice | —Unverified | 0 |
| How much do LLMs learn from negative examples? | Mar 18, 2025 | Multiple-choiceQuestion Answering | CodeCode Available | 0 |
| LEAVS: An LLM-based Labeler for Abdominal CT Supervision | Mar 17, 2025 | AnatomyLarge Language Model | CodeCode Available | 0 |
| Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data | Mar 13, 2025 | Large Language ModelMath | —Unverified | 0 |
| The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory | Mar 13, 2025 | MathMultiple-choice | —Unverified | 0 |
| It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education | Mar 13, 2025 | Multiple-choice | —Unverified | 0 |
