A conversational multi-agent AI system for automated plant phenotyping
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arXiv:2604.00053v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly used in domain-specific applications, including climate change and…
arXiv:2604.00005v1 Announce Type: new Abstract: Emotion plays an important role in human cognition and performance. Motivated by this, we investigate…
arXiv:2603.29805v2 Announce Type: replace-cross Abstract: A key problem in the modern study of AI is predicting and understanding emergent capabilities…
arXiv:2604.00801v1 Announce Type: cross Abstract: Standard Mixture-of-Experts (MoE) models rely on centralized routing mechanisms that introduce rigid inductive biases. We…
arXiv:2604.00785v1 Announce Type: cross Abstract: Pretraining Large Language Models (LLMs) from scratch requires massive amount of compute. Aurora super computer…
arXiv:2603.28902v1 Announce Type: new Abstract: Charts are central to analytical reasoning, yet existing benchmarks for chart understanding focus almost exclusively…
arXiv:2603.28707v2 Announce Type: replace-cross Abstract: We present a physics-based neural network framework for the discovery of constitutive models in fully…
arXiv:2505.18602v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have revolutionized algorithm development, yet their application in symbolic regression, where…
arXiv:2512.16081v2 Announce Type: replace-cross Abstract: Social interactions incorporate nonverbal signals to convey emotions alongside speech, including facial expressions and body…