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09/21/2023
ContextRef: Evaluating Referenceless Metrics For Image Description Generation
Referenceless metrics (e.g., CLIPScore) use pretrained vision–language m...
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09/11/2023
Hypothesis Search: Inductive Reasoning with Language Models
Inductive reasoning is a core problem-solving capacity: humans can ident...
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06/20/2023
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT
In recent years, deep learning-based solar forecasting using all-sky ima...
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06/16/2023
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness
Language model training in distributed settings is limited by the commun...
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06/06/2023
Certified Reasoning with Language Models
Language models often achieve higher accuracy when reasoning step-by-ste...
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05/24/2023
Lexinvariant Language Models
Token embeddings, a mapping from discrete lexical symbols to continuous ...
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12/20/2022
Parsel: A Unified Natural Language Framework for Algorithmic Reasoning
Despite recent success in large language model (LLM) reasoning, LLMs sti...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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05/21/2022
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Few images on the Web receive alt-text descriptions that would make them...
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03/28/2022
STaR: Bootstrapping Reasoning With Reasoning
Generating step-by-step "chain-of-thought" rationales improves language ...
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10/09/2020
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Advancing probabilistic solar forecasting methods is essential to suppor...
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06/05/2020
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Learning disentangled representations is regarded as a fundamental task ...
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05/26/2020
Improving Regression Uncertainty Estimates with an Empirical Prior
While machine learning models capable of producing uncertainty estimates...
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04/20/2020
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents
A significant challenge in developing AI that can generalize well is des...
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03/22/2018