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07/07/2023
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
Recent works have empirically analyzed in-context learning and shown tha...
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05/30/2023
Likelihood-Based Diffusion Language Models
Despite a growing interest in diffusion-based language models, existing ...
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01/31/2023
Benchmarking Large Language Models for News Summarization
Large language models (LLMs) have shown promise for automatic summarizat...
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11/29/2022
Coder Reviewer Reranking for Code Generation
Sampling diverse programs from a code language model and reranking with ...
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09/08/2022
Data Feedback Loops: Model-driven Amplification of Dataset Biases
Datasets scraped from the internet have been critical to the successes o...
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05/27/2022
Diffusion-LM Improves Controllable Text Generation
Controlling the behavior of language models (LMs) without re-training is...
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05/23/2022
TempLM: Distilling Language Models into Template-Based Generators
While pretrained language models (PLMs) have greatly improved text gener...
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11/20/2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Overparameterized neural networks can be highly accurate on average on a...
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11/16/2019
Learning Autocomplete Systems as a Communication Game
We study textual autocomplete—the task of predicting a full sentence fro...
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09/04/2019
Distributionally Robust Language Modeling
Language models are generally trained on data spanning a wide range of t...
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04/04/2019
Unifying Human and Statistical Evaluation for Natural Language Generation
How can we measure whether a natural language generation system produces...
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12/04/2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs
For the task of generating complex outputs such as source code, editing ...
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06/20/2018
Fairness Without Demographics in Repeated Loss Minimization
Machine learning models (e.g., speech recognizers) are usually trained t...
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04/11/2018
Derivative free optimization via repeated classification
We develop an algorithm for minimizing a function using n batched functi...
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11/06/2017
Unsupervised Transformation Learning via Convex Relaxations
Our goal is to extract meaningful transformations from raw images, such ...
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09/26/2017
Generating Sentences by Editing Prototypes
We propose a new generative model of sentences that first samples a prot...
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11/02/2015
From random walks to distances on unweighted graphs
Large unweighted directed graphs are commonly used to capture relations ...
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09/18/2015
Word, graph and manifold embedding from Markov processes
Continuous vector representations of words and objects appear to carry s...
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11/20/2014
