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02/15/2023
The Capacity for Moral Self-Correction in Large Language Models
We test the hypothesis that language models trained with reinforcement l...
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12/15/2022
Constitutional AI: Harmlessness from AI Feedback
As AI systems become more capable, we would like to enlist their help to...
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11/04/2022
Measuring Progress on Scalable Oversight for Large Language Models
Developing safe and useful general-purpose AI systems will require us to...
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09/24/2022
In-context Learning and Induction Heads
"Induction heads" are attention heads that implement a simple algorithm ...
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09/21/2022
Toy Models of Superposition
Neural networks often pack many unrelated concepts into a single neuron ...
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08/29/2022
Exploring and Evaluating Personalized Models for Code Generation
Large Transformer models achieved the state-of-the-art status for Natura...
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08/23/2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
We describe our early efforts to red team language models in order to si...
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07/11/2022
Language Models (Mostly) Know What They Know
We study whether language models can evaluate the validity of their own ...
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05/21/2022
Scaling Laws and Interpretability of Learning from Repeated Data
Recent large language models have been trained on vast datasets, but als...
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04/12/2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
We apply preference modeling and reinforcement learning from human feedb...
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02/15/2022
Predictability and Surprise in Large Generative Models
Large-scale pre-training has recently emerged as a technique for creatin...
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12/01/2021
A General Language Assistant as a Laboratory for Alignment
Given the broad capabilities of large language models, it should be poss...
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09/17/2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Statistical language modeling and translation with transformers have fou...
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08/06/2021
Distilling Transformers for Neural Cross-Domain Search
Pre-trained transformers have recently clinched top spots in the gamut o...
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05/19/2021
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
The joint task of bug localization and program repair is an integral par...
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04/16/2021
Generating Bug-Fixes Using Pretrained Transformers
Detecting and fixing bugs are two of the most important yet frustrating ...
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04/12/2021
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers
We approach the important challenge of code autocompletion as an open-do...
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10/07/2020
PyMT5: multi-mode translation of natural language and Python code with transformers
Simultaneously modeling source code and natural language has many exciti...
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09/17/2020
GraphCodeBERT: Pre-training Code Representations with Data Flow
Pre-trained models for programming language have achieved dramatic empir...
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09/11/2020
Generating Accurate Assert Statements for Unit Test Cases using Pretrained Transformers
Unit testing represents the foundational basis of the software testing p...
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09/11/2020
