yu_wang

@DolbyUUU · User

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🚀 LLM & Agent Tech Lead 🎓 PhD in Managerial Economics 💻 MSc in Computer Science

9 followers25 repositories

Repositories

DolbyUUU/Logic-RL-Lite

Lightweight replication study of DeepSeek-R1-Zero. Interesting findings include "No Aha Moment", "Longer CoT ≠ Accuracy", and "Language Mixing in Instruct Models".

★ 52PythonForks 0

DolbyUUU/DeepEnlighten

Pure RL to post-train base models for social reasoning capabilities. Lightweight replication of DeepSeek-R1-Zero with Social IQa dataset.

★ 42PythonForks 0

DolbyUUU/Awesome-Agent-Study-Notes

十场成体系的 AI 智能体深度分享 —— 从原理、RAG、强化学习、工程实践、评测,到多智能体、自进化与前沿落地。

★ 3Forks 0

DolbyUUU/Awesome-Surveys-of-LLM4EDA

A curated list of surveys, reviews, and awesome lists on the application of Large Language Models (LLMs) and AI for Electronic Design Automation (EDA) and chip design.

★ 4Forks 0

DolbyUUU/awesome-tips-for-economic-phd

Collection of resources for economists and economics PhD students, including tips for academic writing, research, publishing, job market preparation, referee reports, and more.

★ 9Forks 0

DolbyUUU/Learn_Transformer_from_Easy_to_Hard

一个为初学者设计的 Transformer 分阶段学习项目。通过由简到难的四个阶段,从零开始用 PyTorch 构建完整的 Transformer 模型,深入理解其核心模块与工作原理。

★ 4Jupyter NotebookForks 0

DolbyUUU/Sudoku4LLM

Sudoku4LLM is a Sudoku dataset generator for training and evaluating reasoning in Large Language Models (LLMs). It offers customizable puzzles, difficulty levels, and 11 serialization formats to support structured data reasoning and Chain of Thought (CoT) experiments.

★ 10PythonForks 0

DolbyUUU/awesome-eye-tracking-economics-business

Collection of materials and papers on eye tracking in field of economics and business, covering the basics of eye tracking technology and its application to visual attention studies.

★ 3Forks 0

DolbyUUU/verl

verl: Volcano Engine Reinforcement Learning for LLMs

★ 2Forks 0

DolbyUUU/hangman-solver-game-dynamics

A game-dynamics-aware Hangman solver leveraging fine-tuned BERT, weighted N-grams, and information entropy. Achieves a 74.4% success rate on a disjoint dataset.

★ 1Jupyter NotebookForks 0

DolbyUUU/Deep-Clustering-Economic-Preferences

Economic preference clustering analysis using generative and deep learning models, including Gaussian Mixture Models (GMM), Wishart Mixture Models (WMM), and Variational Deep Embedding (VaDE).

★ 2PythonForks 0

DolbyUUU/Reinforcement-Calibration-SimCSE

Reinforcement Calibration SimCSE, combining contrastive learning, artificial potential fields, perceptual loss, and RLHF to achieve improved Semantic Textual Similarity (STS) embeddings. PyTorch-based implementations of PerceptualBERT and ForceBasedInfoNCE, along with fine-tuning capabilities via RLHF and evaluation using SentEval.

★ 11PythonForks 0

DolbyUUU/Stereo-Matching-Disparity-Maps

Comparative analysis of stereo matching techniques for disparity map reconstruction, including traditional block matching, OpenCV StereoSGBM, and PSMNet.

★ 3PythonForks 1