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13 papers · 1 filter
Tools-CC-Bench: a Benchmark Suite for Collective Communication with Compression in HPC and AI Workloads
Haozhe Fan, Wei Wang, Xingchen Liu +12
Distributed HPC and LLM workloads increasingly require efficient communication for scalability, yet growing data movement has become a major performance bottleneck. Communication c…
DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding
Yilin Wang, Haochen Shi, Guanyu Chen +4
Food segmentation is essential for applications such as intelligent catering, dietary assessment, and recommendation. However, existing benchmarks fail to capture the complexity of…
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration
Weicheng Ma, John Guerrerio, Soroush Vosoughi
Research on stereotypes in large language models (LLMs) has largely focused on English-speaking contexts, due to the lack of datasets in other languages and the high cost of manual…
From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
Mingyu Huang, Weiqing Min, Ying Jin +2
Personalized glucose regulation remains a central yet unresolved challenge in precision nutrition, as postprandial glucose response varies substantially across individuals. Existin…
RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Junsong Wang, Weiqing Min, Guorui Sheng +3
Fine-grained food image retrieval is a key task in computational gastronomy, with applications in food traceability, dietary monitoring, and smart catering systems. Although hashin…
Chaotic spin dynamics of elongated spinor condensates
Jose Reyes-Calderón, Albert Gallemí, Carsten Klempt +1
Elongated spin- condensates present a highly non-trivial local magnetization dynamics, due to the interplay between nonlinear and quantum effects stemming from the inhomogeneous…