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Hong Kong

Gary Gege

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@Gary-code

Multimodal Researcher 🤣 MLLM Post-Training in Zhipu AI @zai-org

gary-code.github.io/

Awesome-LVLM-paper. :sunglasses: List of papers about Large Multimodal model

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CADReview. [ACL 2025 Oral] The official repository of our paper: CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction

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KETG-paper-reading. 😎 基于知识的文本生成相关文章总结与个人笔记

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Machine-Learning-Park. 机器学习乐园：主要包括机器学习基础，深度学习实践，工业应用。

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ExpStar. [ACM MM 2025] ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments

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KICNLE. [TIP 2024] The official code of paper "Knowledge-Augmented Visual Question Answering with Natural Language Explanation"

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KECVQG. [ACM MM 2023] The released code of paper "Deconfounded Visual Question Generation with Causal Inference"

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PEIFG. [ACM MM 2024] The released code of paper "Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor"

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Ob-VPG. Code for ACM Trans. Multim. Comput. Commun. Appl. (TOMM) 2023 paper "Visual Paraphrase Generation with Key Information Retained"

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paper-reading. 😎 Awesome list of papers about Neural Network Model

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Classic4Children. [NAACL 2025] The official repository of paper "Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model"

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CS224n-2021. slides and personal solution

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D-VQG. [TCSVT 2024] The released code of paper "Video Question Generation for Dynamic Changes"

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MLC-Notes. Notes for Machine Learning Compilation

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VQA-Survey. Update 2022

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MOAG. The basic code for ACM MM 2021 paper "Multiple Objects-Aware Visual Question Generation" and Neural Network 2023 paper "Visual Question Generation for Explicit Questioning Purposes Based on Target Objects"

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Awesome-Transformer-Attention. An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

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MicroBlog. A personal Blog System which is designed for the Java Spring learner.

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Sinkhorn-Network. Sinkhorn Network implementation with pytorch. Refer to paper in ICLR 2018: https://arxiv.org/pdf/1802.08665.pdf

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github-readme-stats. :zap: Dynamically generated stats for your github readmes

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CS149-Parallel-Computing. Parallel Computing from CMU by prof. Kayvon Fatahalian

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