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A general framework for strategically scaling evaluation-driven discovery loops, discovering state-of-the-art solutions on 21 open-ended problems.
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
A unified evaluation toolkit and leaderboard for rigorously assessing the scientific intelligence of large language and vision–language models across the full research workflow.
The first high school physics Olympiad benchmark for evaluating (M)LLMs with step-level grading and human-level comparison.
[DAI 2025] Beyond GPT-5: Making LLMs Cheaper and Better via Performance–Efficiency Optimized Routing
This repository provides a comprehensive library for parallel training and LoRA algorithm implementations, supporting multiple parallel strategies and a rich collection of LoRA variants. It serves …
Official GitHub repo for Scaling Physical Reasoning with the PHYSICS Dataset (NeurIPS25).
The source code for the ICML-2025 paper, titled "UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance".
[ACL 2024]Official GitHub repo for OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.
This project implements the "Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy", a new TWD for finding meaningful distances between samples that incorporate the hi…
《动手学大模型Dive into LLMs》系列编程实践教程
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
The source code for the WWW'2025 paper, titled "A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective".
The source code for the arXiv paper titled "KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning".
a collection of AWESOME things about Optimal Transport in Deep Learning
A framework for prototyping and benchmarking imputation methods
llama3 implementation one matrix multiplication at a time
code for Fast Point Cloud Registration with Optimal Transport
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…
The source code for the AAAI'2023 paper titled "Metric Nearness Made Practical".