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08/11/2023
Self-Alignment with Instruction Backtranslation
We present a scalable method to build a high quality instruction followi...
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07/25/2023
FacTool: Factuality Detection in Generative AI – A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
The emergence of generative pre-trained models has facilitated the synth...
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06/01/2023
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning
Evaluation of natural language generation (NLG) is complex and multi-dim...
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05/22/2023
Look-back Decoding for Open-Ended Text Generation
Given a prefix (context), open-ended generation aims to decode texts tha...
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05/18/2023
LIMA: Less Is More for Alignment
Large language models are trained in two stages: (1) unsupervised pretra...
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12/19/2022
Training Trajectories of Language Models Across Scales
Scaling up language models has led to unprecedented performance gains, b...
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12/05/2022
In-context Examples Selection for Machine Translation
Large-scale generative models show an impressive ability to perform a wi...
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09/21/2022
Mega: Moving Average Equipped Gated Attention
The design choices in the Transformer attention mechanism, including wea...
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04/29/2022
Prompt Consistency for Zero-Shot Task Generalization
One of the most impressive results of recent NLP history is the ability ...
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10/08/2021
Towards a Unified View of Parameter-Efficient Transfer Learning
Fine-tuning large pre-trained language models on downstream tasks has be...
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09/09/2021
Distributionally Robust Multilingual Machine Translation
Multilingual neural machine translation (MNMT) learns to translate multi...
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06/14/2021
Examining and Combating Spurious Features under Distribution Shift
A central goal of machine learning is to learn robust representations th...
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06/03/2021
Luna: Linear Unified Nested Attention
The quadratic computational and memory complexities of the Transformer's...
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05/27/2021
Learning Structures for Deep Neural Networks
In this paper, we focus on the unsupervised setting for structure learni...
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11/05/2020
Detecting Hallucinated Content in Conditional Neural Sequence Generation
Neural sequence models can generate highly fluent sentences but recent s...
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11/07/2019
Understanding Knowledge Distillation in Non-autoregressive Machine Translation
Non-autoregressive machine translation (NAT) systems predict a sequence ...
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09/05/2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Most sequence-to-sequence (seq2seq) models are autoregressive; they gene...
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08/30/2019
Handling Syntactic Divergence in Low-resource Machine Translation
Despite impressive empirical successes of neural machine translation (NM...
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04/04/2019
Density Matching for Bilingual Word Embedding
Recent approaches to cross-lingual word embedding have generally been ba...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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01/06/2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Variational Autoencoder (VAE), a simple and effective deep generative mo...
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08/28/2018
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
Much work in Natural Language Processing (NLP) has been for resource-ric...
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06/20/2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Semantic parsing is the task of transducing natural language (NL) uttera...
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04/06/2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
Labeled sequence transduction is a task of transforming one sequence int...
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11/27/2015
A C-LSTM Neural Network for Text Classification
Neural network models have been demonstrated to be capable of achieving ...
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11/27/2015
