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Correcting Coarse-Grid Weather and Climate Models by Machine Learning From Global Storm-Resolving Simulations
Bretherton, C. S., B. Henn, A. Kwa, N. D. Brenowitz, O. Watt-Meyer, J. McGibbon, W. A. Perkins, S. K. Clark, and L. HarrisJournal of Advances in Modeling Earth Systems • 2022 Global atmospheric `storm-resolving' models with horizontal grid spacing of less than 5~km resolve deep cumulus convection and flow in complex terrain. They promise to be reference models that could be used to improve computationally affordable coarse-grid…SCROLLS: Standardized CompaRison Over Long Language Sequences
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer LevyarXiv • 2022 NLP benchmarks have largely focused on short texts, such as sentences and paragraphs, even though long texts comprise a considerable amount of natural language in the wild. We introduce SCROLLS, a suite of tasks that require reasoning over long texts. We…Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models
Maarten Sap, A. Jafarpour, Yejin Choi, Noah A. Smith, J. Pennebaker, E. HorvitzarXiv • 2022 Lifelong experiences and learned knowledge lead to shared expectations about how common situations tend to unfold. Such knowledge enables people to interpret story narratives and identify salient events effortlessly. We study differences in the narrative flow…Imagined versus Remembered Stories: Quantifying Differences in Narrative Flow
Maarten Sap, A. Jafarpour, Yejin Choi, Noah A. Smith, J. Pennebaker, E. HorvitzSociology • 2022 Lifelong experiences and learned knowledge lead to shared expectations about how common situations tend to unfold. Such knowledge of narrative event flow enables people to weave together a story. However, comparable computational tools to evaluate the flow of…PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts
Daniel Khashabi, Shan Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin ChoiNAACL • 2022 Fine-tuning continuous prompts for target tasks has recently emerged as a compact alternative to full model fine-tuning. Motivated by these promising results, we investigate the feasibility of extracting a discrete (textual) interpretation of continuous…UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training
Daniel Khashabi, Yeganeh Kordi, Hannaneh HajishirziarXiv • 2022 We present UNIFIEDQA-v2, a QA model built with the same process as UNIFIEDQA, except that it utilizes more supervision – roughly 3× the number of datasets used for UNIFIEDQA. This generally leads to better in-domain and cross-domain results.1Vessel Detection in Sentinel-1 Imagery
Favyen Bastani, Piper Wolters, Rose Hendrix, Joseph Ferdinando, Ani KembhaviAI2 whitepaper • 2022 In this document, we detail the approach in our xView3 submission. The xView3 dataset presents the challenge of detecting vessels and other maritime objects in synthetic aperture radar (SAR) images captured by the ESA’s Sentinel- 1 satellite. The dataset…Tropical Cirrus in Global Storm‐Resolving Models: 2. Cirrus Life Cycle and Top‐of‐Atmosphere Radiative Fluxes
S. M. Turbeville, J. M. Nugent, T. Ackerman, C. Bretherton, P. BlosseyEarth and Space Science • 2021 Cirrus clouds of various thicknesses and radiative characteristics extend over much of the tropics, especially around deep convection. They are difficult to observe due to their high altitude and sometimes small optical depths. They are also difficult to…Tropical Cirrus in Global Storm‐Resolving Models: 1. Role of Deep Convection
J. Nugent, S. M. Turbeville, C. Bretherton, P. Blossey, T. AckermanEarth and Space Science • 2021 Pervasive cirrus clouds in the upper troposphere and tropical tropopause layer (TTL) influence the climate by altering the top‐of‐atmosphere radiation balance and stratospheric water vapor budget. These cirrus are often associated with deep convection, which…DREAM: Improving Situational QA by First Elaborating the Situation
Yuling Gu, Bhavana Dalvi Mishra, Peter ClarkNAACL • 2021 When people answer questions about a specific situation, e.g., "I cheated on my mid-term exam last week. Was that wrong?", cognitive science suggests that they form a mental picture of that situation before answering. While we do not know how language models…