CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Paper • 2501.01257 • Published Jan 2 • 50
ProcessBench: Identifying Process Errors in Mathematical Reasoning Paper • 2412.06559 • Published Dec 9, 2024 • 80
Language Models can Self-Lengthen to Generate Long Texts Paper • 2410.23933 • Published Oct 31, 2024 • 18
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data Paper • 2410.18558 • Published Oct 24, 2024 • 19
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation Paper • 2410.09584 • Published Oct 12, 2024 • 48
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Paper • 2410.07985 • Published Oct 10, 2024 • 32
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Paper • 2409.03810 • Published Sep 5, 2024 • 35
Towards a Unified View of Preference Learning for Large Language Models: A Survey Paper • 2409.02795 • Published Sep 4, 2024 • 72
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation Paper • 2407.00468 • Published Jun 29, 2024 • 36