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08/17/2023
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models
Information extraction and textual comprehension from materials literatu...
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05/26/2023
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies
Task-oriented dialog (TOD) agents often ground their responses on extern...
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05/24/2023
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
The performance on Large Language Models (LLMs) on existing reasoning be...
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05/19/2023
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
A popular approach for improving the correctness of output from large la...
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04/03/2023
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
Multi-class cell detection and counting is an essential task for many pa...
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12/20/2022
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions
When answering natural language questions over knowledge bases (KBs), in...
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11/13/2022
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark
Automated completion of open knowledge bases (KBs), which are constructe...
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10/24/2022
"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds
Proper noun compounds, e.g., "Covid vaccine", convey information in a su...
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10/17/2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
There is a recent focus on designing architectures that have an Integer ...
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07/03/2022
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
A crucial component in the curation of KB for a scientific domain is inf...
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06/18/2022
ToolTango: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis
Robots assisting us in environments such as factories or homes must lear...
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05/14/2022
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following
Our goal is to enable a robot to learn how to sequence its actions to pe...
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02/24/2022
Matching Papers and Reviewers at Large Conferences
This paper studies a novel reviewer-paper matching approach that was rec...
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02/07/2022
Neural Models for Output-Space Invariance in Combinatorial Problems
Recently many neural models have been proposed to solve combinatorial pu...
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10/14/2021
A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction
Distantly supervised relation extraction (DS-RE) is generally framed as ...
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09/30/2021
MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
An overwhelmingly large amount of knowledge in the materials domain is g...
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09/15/2021
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs
End-to-End task-oriented dialogue systems generate responses based on di...
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09/15/2021
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs
We propose a novel problem within end-to-end learning of task-oriented d...
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06/12/2021
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation
Contrastive Learning (CL) is a recent representation learning approach, ...
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06/06/2021
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks
Neural models and symbolic algorithms have recently been combined for ta...
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05/05/2021
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
Robots assisting us in factories or homes must learn to make use of obje...
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04/18/2021
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment
Knowledge Graph Completion (KGC) predicts missing facts in an incomplete...
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04/18/2021
CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion
Pre-trained language models (LMs) like BERT have shown to store factual ...
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04/17/2021
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction
Distant supervision (DS) is a well established technique for creating la...
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10/07/2020
OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
A recent state-of-the-art neural open information extraction (OpenIE) sy...
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09/28/2020
Joint Spatio-Textual Reasoning for Answering Tourism Questions
Our goal is to answer real-world tourism questions that seek Points-of-I...
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08/27/2020
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Recent research has proposed neural architectures for solving combinator...
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06/09/2020
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
A robot working in a physical environment (like home or factory) needs t...
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05/17/2020
IMoJIE: Iterative Memory-Based Joint Open Information Extraction
While traditional systems for Open Information Extraction were statistic...
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05/02/2020
Knowledge Base Completion: Baseline strikes back (Again)
Knowledge Base Completion has been a very active area recently, where mu...
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05/01/2020
Knowledge Base Inference for Regular Expression Queries
Two common types of tasks on Knowledge Bases have been studied – single ...
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05/01/2020
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Pooling-based recurrent neural architectures consistently outperform the...
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04/30/2020
Unsupervised Learning of KB Queries in Task Oriented Dialogs
Task-oriented dialog (TOD) systems converse with users to accomplish a s...
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04/14/2020
A Simple Yet Strong Pipeline for HotpotQA
State-of-the-art models for multi-hop question answering typically augme...
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02/18/2020
Generalized Neural Policies for Relational MDPs
A Relational Markov Decision Process (RMDP) is a first-order representat...
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09/08/2019
Large Scale Question Answering using Tourism Data
Real world question answering can be significantly more complex than wha...
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02/08/2019
Size Independent Neural Transfer for RDDL Planning
Neural planners for RDDL MDPs produce deep reactive policies in an offli...
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10/26/2018
Transfer of Deep Reactive Policies for MDP Planning
Domain-independent probabilistic planners input an MDP description in a ...
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07/02/2018
Block-Value Symmetries in Probabilistic Graphical Models
Several lifted inference algorithms for probabilistic graphical models f...
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05/03/2018
Hierarchical Pointer Memory Network for Task Oriented Dialogue
We observe that end-to-end memory networks (MN) trained for task-oriente...
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07/27/2017
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Lifted inference algorithms commonly exploit symmetries in a probabilist...
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07/22/2017
Coarse-to-Fine Lifted MAP Inference in Computer Vision
There is a vast body of theoretical research on lifted inference in prob...
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06/02/2017
Joint Matrix-Tensor Factorization for Knowledge Base Inference
While several matrix factorization (MF) and tensor factorization (TF) mo...
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02/12/2017
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing
We present Octopus, an AI agent to jointly balance three conflicting tas...
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06/30/2016
Contextual Symmetries in Probabilistic Graphical Models
An important approach for efficient inference in probabilistic graphical...
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01/16/2014
Topological Value Iteration Algorithms
Value iteration is a powerful yet inefficient algorithm for Markov decis...
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01/15/2014
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains
We consider the problem of optimal planning in stochastic domains with r...
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10/16/2012
A Theory of Goal-Oriented MDPs with Dead Ends
Stochastic Shortest Path (SSP) MDPs is a problem class widely studied in...
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10/16/2012