CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Paper • 2501.01257 • Published 5 days ago • 42
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Paper • 2501.01257 • Published 5 days ago • 42
ProcessBench: Identifying Process Errors in Mathematical Reasoning Paper • 2412.06559 • Published 29 days ago • 73
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement Paper • 2409.12122 • Published Sep 18, 2024 • 3
Language Models can Self-Lengthen to Generate Long Texts Paper • 2410.23933 • Published Oct 31, 2024 • 17
Language Models can Self-Lengthen to Generate Long Texts Paper • 2410.23933 • Published Oct 31, 2024 • 17
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data Paper • 2410.18558 • Published Oct 24, 2024 • 18
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation Paper • 2410.09584 • Published Oct 12, 2024 • 47
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Paper • 2410.07985 • Published Oct 10, 2024 • 28
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Paper • 2410.07985 • Published Oct 10, 2024 • 28
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Paper • 2410.07985 • Published Oct 10, 2024 • 28 • 3
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Paper • 2410.07985 • Published Oct 10, 2024 • 28 • 3
Qwen2.5-Math Collection Math-specific model series based on Qwen2.5 • 9 items • Updated Nov 28, 2024 • 59
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data Paper • 2409.03810 • Published Sep 5, 2024 • 32