MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale Paper • 2412.05237 • Published 19 days ago • 46
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision Paper • 2411.07199 • Published Nov 11 • 45
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models Paper • 2411.07140 • Published Nov 11 • 33
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models Paper • 2411.04905 • Published Nov 7 • 111
M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation Paper • 2410.21157 • Published Oct 28 • 6
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Paper • 2410.20424 • Published Oct 27 • 39
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model Paper • 2410.13639 • Published Oct 17 • 16
Can MLLMs Understand the Deep Implication Behind Chinese Images? Paper • 2410.13854 • Published Oct 17 • 10
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment Paper • 2410.13785 • Published Oct 17 • 18
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models Paper • 2410.11710 • Published Oct 15 • 18
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering Paper • 2410.07095 • Published Oct 9 • 6
OmniBench: Towards The Future of Universal Omni-Language Models Paper • 2409.15272 • Published Sep 23 • 26
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models Paper • 2409.16191 • Published Sep 24 • 41
FuzzCoder: Byte-level Fuzzing Test via Large Language Model Paper • 2409.01944 • Published Sep 3 • 44