research
∙
05/22/2023
Teaching Probabilistic Logical Reasoning to Transformers
Recent research on transformer-based language models investigates their ...
share
research
∙
02/18/2023
VLN-Trans: Translator for the Vision and Language Navigation Agent
Language understanding is essential for the navigation agent to follow i...
research
∙
02/16/2023
GLUECons: A Generic Benchmark for Learning Under Constraints
Recent research has shown that integrating domain knowledge into deep le...
research
∙
11/11/2022
Misinformation Detection using Persuasive Writing Strategies
The spread of misinformation is a prominent problem in today's society, ...
research
∙
11/09/2022
Prompting Large Pre-trained Vision-Language Models For Compositional Concept Learning
This work explores the zero-shot compositional learning ability of large...
research
∙
10/30/2022
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning
Recent research shows synthetic data as a source of supervision helps pr...
research
∙
09/26/2022
LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation
Understanding spatial and visual information is essential for a navigati...
research
∙
09/20/2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering
This work investigates the challenge of learning and reasoning for Commo...
research
∙
03/21/2022
Relevant CommonSense Subgraphs for "What if..." Procedural Reasoning
We study the challenge of learning causal reasoning over procedural text...
research
∙
08/27/2021
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
We demonstrate a library for the integration of domain knowledge in deep...
research
∙
07/12/2021
Zero-Shot Compositional Concept Learning
In this paper, we study the problem of recognizing compositional attribu...
research
∙
05/27/2021
Relational Gating for "What If" Reasoning
This paper addresses the challenge of learning to do procedural reasonin...
research
∙
05/14/2021
Towards Navigation by Reasoning over Spatial Configurations
We deal with the navigation problem where the agent follows natural lang...
research
∙
04/15/2021
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
Tracking entities throughout a procedure described in a text is challeng...
research
∙
01/12/2021
Latent Alignment of Procedural Concepts in Multimodal Recipes
We propose a novel alignment mechanism to deal with procedural reasoning...
research
∙
10/07/2020
SRLGRN: Semantic Role Labeling Graph Reasoning Network
This work deals with the challenge of learning and reasoning over multi-...
research
∙
07/19/2020
From Spatial Relations to Spatial Configurations
Spatial Reasoning from language is essential for natural language unders...
research
∙
05/12/2020
Cross-Modality Relevance for Reasoning on Language and Vision
This work deals with the challenge of learning and reasoning over langua...
research
∙
06/18/2019
Declarative Learning-Based Programming as an Interface to AI Systems
Data-driven approaches are becoming more common as problem-solving techn...
research
∙
07/25/2017
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks
Many real world systems need to operate on heterogeneous information net...
research
∙
03/28/2016
