π Why aren't current code benchmarks enough? "LiveCodeBench" proposes a new contamination-free evaluation, testing LLMs not only for code generation but also for self-repair, code execution, and test output prediction. https://t.co/X6vO5BD9g0
π "Fact, Fetch, and Reason" introduces the FRAMES benchmark for a comprehensive evaluation of Retrieval-Augmented Generation (RAG) systems! It includes multi-step reasoning, information integration, and accuracy of generation. Learn more: #AI#RAG#LLM (https://t.co/FGrchzmg0G)
"Chinese SimpleQA" β a Chinese factuality benchmark for large language models! This paper provides a comprehensive evaluation framework for improving the performance and accuracy of Chinese LLMs. See how they stack up! #Chinese#LLM (https://t.co/bjMdppVvUj)
π₯οΈ Code generation is just the beginning! "LiveCodeBench" proposes a holistic, contamination-free benchmark that evaluates LLMs across code generation, self-repair, code execution, and test output prediction. #AI#CodeGeneration#LLM (https://t.co/X6vO5BD9g0)
Embrace the future of #IntelligentVehicles with "Federated Intelligence for Intelligent Vehicles" from IEEE TIV. ππ§ Learn how large models can be federated for IVs, enhancing data security and sustainability through continuous learning. https://t.co/GhMtYHbPPD
Navigate the future of transportation with "The Road to Smart Mobility" β a new IEEE TIV paper highlighting Chinaβs lead in IV research. Discover the collaborative patterns and trends shaping the IV industry. https://t.co/TSymxLGdiV #IEEE#IntelligentVehicles
AI4S Based on DeSci: Reference Model and Research Issues: ππ€ Embracing Decentralized Science #DeSci is crucial for AI4S to overcome biases and promote fairness and cooperation in scientific systems. ππ¬(https://t.co/6JcPeVeTYB)
A New Architecture and Mechanism for Decentralized Science MetaMarkets:
ππ¬ Leveraging Web3 and DAOs, this framework tackles inefficiency and monopoly in scientific systems, proposing new economic theories for better governance. ππ(https://t.co/UACL7iiLHY)
Large Language Model-Driven Urban Traffic Signal Control: π¦π€ Using LLMs to optimize urban traffic signals with autonomous, feedback, and human control modes. π (https://t.co/0ZcPCsJhOK)
Title: Large Language Model-Assisted Arterial Traffic Signal Control
Short Summary: π¦ Using GPT-4 for green wave control on arterial roads enhances traffic flow and reduces congestion. ππ [Read more](https://t.co/YmHGPi4l9G)
π Discover #DeSci in action with TAOs! "From DAO to TAO: Finding The Essence of Decentralization" envisions a democratic, contribution-based org model. πβ¨
https://t.co/S9yOIjgTCo
π Exploring #City5.0's leap towards Spatial Symbiotic Intelligence! Great insights on DAOs and parallel systems shaping our future cities. Check out the latest in IEEE Transactions: https://t.co/NYjeFblDgy #SmartCities#Innovation