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04/03/2023
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
Cross-lingual transfer of language models trained on high-resource langu...
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12/17/2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Dense retrievers have made significant strides in obtaining state-of-the...
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10/22/2022
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Pre-trained multilingual language models show significant performance ga...
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03/25/2022
A Conversational Paradigm for Program Synthesis
Program synthesis strives to generate a computer program as a solution t...
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08/27/2021
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Structured prediction in natural language processing (NLP) has a long hi...
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10/06/2020
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
Many tasks in natural language processing involve predicting structured ...
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07/14/2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Recent work has shown that pre-trained language models such as BERT impr...
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05/02/2020
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
We propose to train a non-autoregressive machine translation model to mi...
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11/07/2019
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
Deep energy-based models are powerful, but pose challenges for learning ...
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09/30/2019
Generating Diverse Story Continuations with Controllable Semantics
We propose a simple and effective modeling framework for controlled gene...
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04/01/2019
Benchmarking Approximate Inference Methods for Neural Structured Prediction
Exact structured inference with neural network scoring functions is comp...
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03/09/2018
Learning Approximate Inference Networks for Structured Prediction
Structured prediction energy networks (SPENs; Belanger & McCallum 2016) ...
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06/09/2017
Learning to Embed Words in Context for Syntactic Tasks
We present models for embedding words in the context of surrounding word...
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02/07/2016
