Qiuyuan Huang | DeepAI

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∙ 09/18/2023

MindAgent: Emergent Gaming Interaction

Large Language Models (LLMs) have the capacity of performing complex sch...

0 Ran Gong, et al. ∙

∙ 02/24/2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Large language models (LLMs), such as ChatGPT, are able to generate huma...

0 Baolin Peng, et al. ∙

∙ 05/19/2022

Training Vision-Language Transformers from Captions Alone

We show that Vision-Language Transformers can be learned without human l...

0 Liangke Gui, et al. ∙

∙ 12/16/2021

KAT: A Knowledge Augmented Transformer for Vision-and-Language

The primary focus of recent work with largescale transformers has been o...

0 Liangke Gui, et al. ∙

∙ 10/05/2019

Natural- to formal-language generation using Tensor Product Representations

Generating formal-language represented by relational tuples, such as Lis...

0 Kezhen Chen, et al. ∙

∙ 09/05/2019

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning

Popular metrics used for evaluating image captioning systems, such as BL...

0 Ming Jiang, et al. ∙

∙ 09/04/2019

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

This paper presents a new metric called TIGEr for the automatic evaluati...

0 Ming Jiang, et al. ∙

∙ 02/27/2019

Object-driven Text-to-Image Synthesis via Adversarial Training

In this paper, we propose Object-driven Attentive Generative Adversarial...

6 Wenbo Li, et al. ∙

∙ 11/25/2018

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Vision-language navigation (VLN) is the task of navigating an embodied a...

0 Xin Wang, et al. ∙

∙ 05/21/2018

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

We propose a hierarchically structured reinforcement learning approach t...

0 Qiuyuan Huang, et al. ∙

∙ 05/21/2018

Turbo Learning for Captionbot and Drawingbot

We study in this paper the problems of both image captioning and text-to...

0 Qiuyuan Huang, et al. ∙

∙ 04/03/2018

Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning

We study how to generate captions that are not only accurate in describi...

0 Dianqi Li, et al. ∙

∙ 02/20/2018

Attentive Tensor Product Learning for Language Generation and Grammar Parsing

This paper proposes a new architecture - Attentive Tensor Product Learni...

0 Qiuyuan Huang, et al. ∙

∙ 01/30/2018

Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs

While deep learning has pushed the boundaries in various machine learnin...

0 Pratik Prabhanjan Brahma, et al. ∙

∙ 11/28/2017

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

In this paper, we propose an Attentional Generative Adversarial Network ...

1 Tao Xu, et al. ∙

∙ 10/29/2017

A Neural-Symbolic Approach to Natural Language Tasks

Deep learning (DL) has in recent years been widely used in natural langu...

0 Qiuyuan Huang, et al. ∙

∙ 09/26/2017

Tensor Product Generation Networks for Deep NLP Modeling

We present a new approach to the design of deep networks for natural lan...

0 Qiuyuan Huang, et al. ∙

∙ 09/26/2017

Tensor Product Generation Networks

We present a new tensor product generation network (TPGN) that generates...

0 Qiuyuan Huang, et al. ∙

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