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Why Would You Suggest That? Human Trust in Language Model Responses
The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are paramount.
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics.
Exploring and Improving the Spatial Reasoning Abilities of Large Language Models
Large Language Models (LLMs) represent formidable tools for sequence modeling, boasting an innate capacity for general pattern recognition.
A population of heavily reddened, optically missed classical novae from Palomar Gattini-IR: Constraints on the Galactic nova rate
We perform the first quantitative simulation of a $3\pi$ time domain survey to estimate the Galactic nova rate using PGIR, and derive a rate of $\approx 46\pm13$ yr$^{-1}$.
High Energy Astrophysical Phenomena Astrophysics of Galaxies Solar and Stellar Astrophysics
Interpreting deep learning models for weak lensing
Deep Neural Networks (DNNs) are powerful algorithms that have been proven capable of extracting non-Gaussian information from weak lensing (WL) data sets.
Cosmology and Nongalactic Astrophysics
