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A new star shines brightly in the field of artificial intelligence! Recently, Huawei Noah's Ark Lab and the Hong Kong University Natural Language Processing Group (HKU NLP Group) jointly released a new language model called Dream7B. This model is hailed as the most powerful open-source diffusion large language model to date. Dream7B not only surpasses existing diffusion language models in performance, but also rivals or even surpasses top autoregressive (AR) language models of similar scale in general capabilities, mathematics, code, and planning abilities.

The Hong Kong Generative AI Research Center (HKGAI), led by the Hong Kong University of Science and Technology (HKUST), officially launched its first locally developed generative AI model, HKGAI V1, on February 25th. This significant breakthrough injects new vitality into Hong Kong's AI ecosystem, marking a major advancement for Hong Kong in this cutting-edge technology field. HKGAI V1 is the industry's first large model based on DeepSeek technology for full parameter fine-tuning and continuous training, featuring a powerful local knowledge base and the ability to understand and generate Cantonese.

EasyRec is a recommendation system based on language models, developed by a team from the University of Hong Kong. Its uniqueness lies in analyzing emotional and detailed user behavior stories through a text behavior alignment framework to predict user preferences without requiring large amounts of user data. The system combines contrastive learning and collaborative language models, enabling accurate predictions of preferences for new users and new products, particularly excelling in zero-shot recommendation scenarios. EasyRec's plug-and-play features make it easy to integrate into existing recommendation systems, enhancing performance. The paper showcases EasyRec's performance across multiple...

ItiNera is an open-domain city itinerary planning system developed by multiple universities, designed to simplify personalized urban exploration planning. It combines large language models (LLMs) with spatial optimization techniques to generate customized itineraries based on user needs described in natural language. The core of ItiNera involves using LLMs to extract and update point of interest (POI) features, building a personalized POI databas....

Developed jointly by researchers from the University of Hong Kong and Bytedance, LlamaGen is an image generation method based on the autoregressive model Llama, which has shown the potential to surpass traditional diffusion models in the field of image generation. The open-source release of LlamaGen quickly garnered nearly 900 stars on GitHub, acknowledging this achievement. This result not only proves the competitiveness of autoregressive models in image generation but also brings new vitality