Agora: Enhancing LLM Agent Reasoning Via Auction-Based Task Allocation
Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse...
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Enhancing the reasoning capabilities of large language model (LLM) agents requires effective orchestration of diverse...
We present our submission to the QANTA 2026 shared challenge at the ICML 2026 Workshop on Efficient Multimodal Questi...
Reliable autonomous driving requires full-scene perception that couples foreground objects with dense semantic layout...
Quantum information theory (QIT) characterizes the capabilities and fundamental limits of quantum information process...
Financial anomaly detection suffers from extreme class imbalance, causing traditional single-objective algorithms to ...
Concept-based explainable artificial intelligence (AI) can make model reasoning more human-understandable, but concep...
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecu...
Vision language models (VLMs) have made remarkable progress in visual reasoning during the last decade. Most evaluati...
The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpor...
Current electroencephalography (EEG)-based dream detection relies on power spectral density (PSD) and statistical mom...
The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpor...
We present Soofi S 30B-A3B, a sovereign, open-source Mixture-of-Experts (MoE) hybrid Mamba Transformer foundation mod...