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01/31/2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large language models have achieved impressive performance on various na...
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07/21/2022
Language Model Cascades
Prompted models have demonstrated impressive few-shot learning abilities...
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06/29/2022
Solving Quantitative Reasoning Problems with Language Models
Language models have achieved remarkable performance on a wide range of ...
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05/26/2022
Towards Learning Universal Hyperparameter Optimizers with Transformers
Meta-learning hyperparameter optimization (HPO) algorithms from prior ex...
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04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
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11/30/2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Large pre-trained language models perform remarkably well on tasks that ...
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08/16/2021
Program Synthesis with Large Language Models
This paper explores the limits of the current generation of large langua...
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12/01/2020
Latent Programmer: Discrete Latent Codes for Program Synthesis
In many sequence learning tasks, such as program synthesis and document ...
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09/30/2020
Rethinking Attention with Performers
We introduce Performers, Transformer architectures which can estimate re...
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06/05/2020
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Transformer models have achieved state-of-the-art results across a diver...
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06/05/2020
Population-Based Black-Box Optimization for Biological Sequence Design
The use of black-box optimization for the design of new biological seque...
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04/23/2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Current end-to-end machine reading and question answering (Q&A) models a...
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12/16/2016
