Tag: frontier large language models
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CRISP: Enhanced Relative Impact Analysis of Scholarly Papers
Discover CRISP, a novel method using LLMs to rank and analyze the relative impact of scholarly publications with improved accuracy and efficiency.
Federated Pretraining for Multimodal Large Language Models
Discover Fed-CMP, a novel federated pretraining method enhancing multimodal large language models while preserving data privacy and improving performance.
Challenges in Spatial Reasoning of Advanced LLM Models
Explore the limitations of frontier LLMs in spatial reasoning and the impact of integrating imagery modules on 3D mental rotation tasks.
DS-MoE: LLM-Driven Dynamic Sparse Expert Activation
Discover DS-MoE, a dynamic sparse expert activation model driven by large language models for superior visual recognition and real-time inference.
SEAR: Schema-Based Routing for Efficient LLM Gateways
Discover SEAR, a schema-based system for evaluating and routing large language model responses to optimize cost and quality in AI gateways.