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06/22/2023
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought
How does language inform our downstream thinking? In particular, how do ...
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06/05/2023
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Even after fine-tuning and reinforcement learning, large language models...
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05/01/2023
Evaluating statistical language models as pragmatic reasoners
The relationship between communicated language and intended meaning is o...
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11/29/2022
Top-Down Synthesis for Library Learning
This paper introduces corpus-guided top-down synthesis as a mechanism fo...
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09/05/2022
ChemBERTa-2: Towards Chemical Foundation Models
Large pretrained models such as GPT-3 have had tremendous impact on mode...
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05/11/2022
Identifying concept libraries from language about object structure
Our understanding of the visual world goes beyond naming objects, encomp...
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10/19/2020
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
GNNs and chemical fingerprints are the predominant approaches to represe...
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06/20/2019
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
Visual question answering (VQA) models have been shown to over-rely on l...
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06/03/2018
On the Flip Side: Identifying Counterexamples in Visual Question Answering
Visual question answering (VQA) models respond to open-ended natural lan...
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02/05/2018
