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07/06/2023
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks
Large language models (LLMs), typically designed as a function of next-w...
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05/26/2023
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
Many text generation applications require the generated text to be factu...
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05/24/2023
Reasoning with Language Model is Planning with World Model
Large language models (LLMs) have shown remarkable reasoning capabilitie...
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05/19/2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Augmenting large language models (LLMs) with external tools has emerged ...
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05/18/2023
Language Models Meet World Models: Embodied Experiences Enhance Language Models
While large language models (LMs) have shown remarkable capabilities acr...
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10/09/2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
Data-to-text generation is challenging due to the great variety of the i...
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08/01/2022
Composable Text Control Operations in Latent Space with Ordinary Differential Equations
Real-world text applications often involve composing a wide range of tex...
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06/28/2022
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models
Symbolic knowledge graphs (KGs) have been constructed either by expensiv...
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05/25/2022
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning
Prompting has shown impressive success in enabling large pretrained lang...
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01/22/2022
A Causal Lens for Controllable Text Generation
Controllable text generation concerns two fundamental tasks of wide appl...
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09/14/2021
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
Natural language generation (NLG) spans a broad range of tasks, each of ...
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08/17/2021
Panoramic Learning with A Standardized Machine Learning Formalism
Machine Learning (ML) is about computational methods that enable machine...
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06/29/2021
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation
Neural text generation models are typically trained by maximizing log-li...
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06/14/2021
Text Generation with Efficient (Soft) Q-Learning
Maximum likelihood estimation (MLE) is the predominant algorithm for tra...
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03/02/2021
A Data-Centric Framework for Composable NLP Workflows
Empirical natural language processing (NLP) systems in application domai...
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10/14/2020
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
Given a document and a target aspect (e.g., a topic of interest), aspect...
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10/09/2020
A Survey of Knowledge-Enhanced Text Generation
The goal of text generation is to make machines express in human languag...
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06/28/2020
Progressive Generation of Long Text
Large-scale language models pretrained on massive corpora of text, such ...
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06/12/2020
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Despite success on a wide range of problems related to vision, generativ...
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10/28/2019
Learning Data Manipulation for Augmentation and Weighting
Manipulating data, such as weighting data examples or augmenting with ne...
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05/28/2019
Target-Guided Open-Domain Conversation
Many real-world open-domain conversation applications have specific goal...
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03/25/2019
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation
Generating long and semantic-coherent reports to describe medical images...
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03/20/2019
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction
Clinical outcome prediction based on the Electronic Health Record (EHR) ...
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01/28/2019
Toward Unsupervised Text Content Manipulation
Controlled generation of text is of high practical use. Recent efforts h...
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01/01/2019
Text Infilling
Recent years have seen remarkable progress of text generation in differe...
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11/24/2018
Connecting the Dots Between MLE and RL for Sequence Generation
Sequence generation models such as recurrent networks can be trained wit...
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10/15/2018
Structured Content Preservation for Unsupervised Text Style Transfer
Text style transfer aims to modify the style of a sentence while keeping...
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10/04/2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization
Many machine learning problems involve iteratively and alternately optim...
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09/04/2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
We introduce Texar, an open-source toolkit aiming to support the broad s...
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06/26/2018
Deep Generative Models with Learnable Knowledge Constraints
The broad set of deep generative models (DGMs) has achieved remarkable a...
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05/30/2018
Unsupervised Text Style Transfer using Language Models as Discriminators
Binary classifiers are often employed as discriminators in GAN-based uns...
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05/21/2018
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Generating long and coherent reports to describe medical images poses ch...
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05/09/2018
Automatic Article Commenting: the Task and Dataset
Comments of online articles provide extended views and improve user enga...
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11/11/2017
Towards Automated ICD Coding Using Deep Learning
International Classification of Diseases(ICD) is an authoritative health...
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07/01/2017
Efficient Correlated Topic Modeling with Topic Embedding
Correlated topic modeling has been limited to small model and problem si...
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06/11/2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Deep learning models can take weeks to train on a single GPU-equipped ma...
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06/02/2017
On Unifying Deep Generative Models
Deep generative models have achieved impressive success in recent years....
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04/01/2017
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
Implicit discourse relation classification is of great challenge due to ...
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03/21/2017
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
The recently developed variational autoencoders (VAEs) have proved to be...
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03/21/2017
Recurrent Topic-Transition GAN for Visual Paragraph Generation
A natural image usually conveys rich semantic content and can be viewed ...
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03/02/2017
Toward Controlled Generation of Text
Generic generation and manipulation of text is challenging and has limit...
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02/27/2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Recent work on generative modeling of text has found that variational au...
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11/01/2016
Stochastic Variational Deep Kernel Learning
Deep kernel learning combines the non-parametric flexibility of kernel m...
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10/27/2016
Learning Scalable Deep Kernels with Recurrent Structure
Many applications in speech, robotics, finance, and biology deal with se...
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09/26/2016
Dropout with Expectation-linear Regularization
Dropout, a simple and effective way to train deep neural networks, has l...
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07/27/2016
Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification
Due to the lack of structured knowledge applied in learning distributed ...
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07/18/2016
Neural Machine Translation with Recurrent Attention Modeling
Knowing which words have been attended to in previous time steps while g...
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06/29/2016
Learning Concept Taxonomies from Multi-modal Data
We study the problem of automatically building hypernym taxonomies from ...
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05/12/2016
Joint Embeddings of Hierarchical Categories and Entities
Due to the lack of structured knowledge applied in learning distributed ...
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03/21/2016