ZooClaw-FashionSigLIP2: Distilled Fine-tuning for Robust Fashion Retrieval
Adapting a foundation vision-language encoder to a specialized retrieval task creates a fundamental tradeoff: gains o...
每天自动聚合 AI 领域最新动态
Adapting a foundation vision-language encoder to a specialized retrieval task creates a fundamental tradeoff: gains o...
LLM agents are expected to act over multiple turns, using search, browsing interfaces, and terminal tools to complete...
Time-series forecasting research has been moving steadily toward larger architectures, from specialized transformers ...
Text detoxification, the automated detection and mitigation of abusive and harmful content, is essential for ensuring...
Language models (LMs) represent tokens using embedding matrices that scale linearly with the vocabulary size. To cons...
Efficient deployment of large language models (LLMs) in production forces a trade-off between accuracy and cost. Oper...
Pixel-space continuous-token autoregressive (AR) generation directly models images as sequences of raw pixel patches,...
Video generation models aspire to simulate dynamic environments, and several benchmarks now evaluate memory consisten...
LLM-based code agents navigate repositories through keyword search but miss the structural relationships, such as cal...
LLM-based agents for program repair are increasingly built on a "generate-run-revise" paradigm, iteratively executing...
Tokenization is central to adapting scientific data for transformer-based foundation models, yet its impact on learne...
For agents to learn continuously from interaction with the world at test time, they must be able to explore effective...