Lists (15)
Stars
SGLang is a high-performance serving framework for large language models and multimodal models.
SRGDiff: a step-aware residual-guided diffusion model for EEG spatial super-resolution. It learns dynamic, step-wise residual conditions from low-density EEG to steer denoising and recover high-den…
Reference and an example for the Bluetooth API for makers in Claude Cowork & Claude Code Desktop
This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. The dataset is generated by fusing StyleGAN3 deep learning mod…
哔哩哔哩常用API调用。支持视频、番剧、用户、频道、音频等功能。原仓库地址：https://github.com/MoyuScript/bilibili-api
Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".
Resources About Student Cognitive Modeling
Official style files for papers submitted to venues of the Association for Computational Linguistics
ICML 2024: Improving Factuality and Reasoning in Language Models through Multiagent Debate
Dataset of conversations, generated by prompting Gemini Ultra. These are conversations between a teacher and a student, where the teacher is prompted with specific topic to teach the student, and t…
[WWW '25 Oral - GenMentor] Official code of our paper "LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System", accepted by WWW 2025 (Industry Track) as an Oral…
The code and data for "MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark" [NeurIPS 2024]
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
[ICLR 2024] M/EEG-based image decoding with contrastive learning. i. Propose a contrastive learning framework to align image and eeg. ii. Resolving brain activity for biological plausibility.
The agent that grows with you
[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
🧮 MathDial: A Dialog Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems, EMNLP Findings 2023