research
∙
08/10/2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
We present a novel approach for structured data-to-text generation that ...
share
research
∙
08/07/2023
Learning Concise and Descriptive Attributes for Visual Recognition
Recent advances in foundation models present new opportunities for inter...
research
∙
05/27/2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
Entities can be expressed in diverse formats, such as texts, images, or ...
research
∙
05/23/2023
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
This paper investigates the capabilities of Large Language Models (LLMs)...
research
∙
02/13/2023
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
We introduce STREET, a unified multi-task and multi-domain natural langu...
research
∙
12/21/2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
A central challenge of building more powerful Graph Neural Networks (GNN...
research
∙
11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
research
∙
10/27/2022
LAD: Language Augmented Diffusion for Reinforcement Learning
Learning skills from language provides a powerful avenue for generalizat...
research
∙
09/30/2022
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Question answering over knowledge bases (KBs) aims to answer natural lan...
research
∙
05/29/2021
FoveaTer: Foveated Transformer for Image Classification
Many animals and humans process the visual field with a varying spatial ...
research
∙
10/20/2020
Open Question Answering over Tables and Text
In open question answering (QA), the answer to a question is produced by...
research
∙
07/07/2020
The gem5 Simulator: Version 20.0+
The open-source and community-supported gem5 simulator is one of the mos...
research
∙
06/18/2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models
Generative adversarial networks (GANs) learn the distribution of observe...
research
∙
04/15/2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Existing question answering datasets focus on dealing with homogeneous i...
research
∙
10/08/2019
Meta Module Network for Compositional Visual Reasoning
There are two main lines of research on visual reasoning: neural module ...
research
∙
09/26/2019
Fine-tune Bert for DocRED with Two-step Process
Modelling relations between multiple entities has attracted increasing a...
research
∙
02/27/2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
With the rapid development in deep learning, deep neural networks have b...
research
∙
11/20/2018
Scene Graph Generation via Conditional Random Fields
Despite the great success object detection and segmentation models have ...
research
∙
11/18/2018
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection
With the recent surge of interests in deep neural networks, more real-wo...
research
∙
11/01/2018
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Many knowledge graph embedding methods operate on triples and are theref...
research
∙
03/17/2018
Variational Knowledge Graph Reasoning
Inferring missing links in knowledge graphs (KG) has attracted a lot of ...
research
∙
11/22/2017
