b'Mausam'

research

∙ 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...

0 Mohd Zaki, et al. ∙

research

∙ 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...

0 Vishal Vivek Saley, et al. ∙

research

∙ 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...

0 Daman Arora, et al. ∙

research

∙ 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...

0 Pranjal Aggarwal, et al. ∙

research

∙ 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...

0 Aayush Kumar Tyagi, et al. ∙

research

∙ 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...

0 Mayur Patidar, et al. ∙

research

∙ 11/13/2022

mOKB6: A Multilingual Open Knowledge Base Completion Benchmark

Automated completion of open knowledge bases (KBs), which are constructe...

0 Shubham Mittal, et al. ∙

research

∙ 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...

0 Keshav Kolluru, et al. ∙

research

∙ 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 ...

1 Yatin Nandwani, et al. ∙

research

∙ 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...

0 Tanishq Gupta, et al. ∙

research

∙ 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...

0 Shreshth Tuli, et al. ∙

research

∙ 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...

5 Shreya Sharma, et al. ∙

research

∙ 02/24/2022

Matching Papers and Reviewers at Large Conferences

This paper studies a novel reviewer-paper matching approach that was rec...

0 Kevin Leyton-Brown, et al. ∙

research

∙ 02/07/2022

Neural Models for Output-Space Invariance in Combinatorial Problems

Recently many neural models have been proposed to solve combinatorial pu...

15 Yatin Nandwani, et al. ∙

research

∙ 10/14/2021

A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction

Distantly supervised relation extraction (DS-RE) is generally framed as ...

0 Vipul Rathore, et al. ∙

research

∙ 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...

29 Tanishq Gupta, et al. ∙

research

∙ 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...

0 Dinesh Raghu, et al. ∙

research

∙ 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...

0 Dinesh Raghu, et al. ∙

research

∙ 06/12/2021

Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation

Contrastive Learning (CL) is a recent representation learning approach, ...

0 Prashant Pandey, et al. ∙

research

∙ 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...

0 Ananye Agarwal, et al. ∙

research

∙ 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...

5 Shreshth Tuli, et al. ∙

research

∙ 04/18/2021

Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment

Knowledge Graph Completion (KGC) predicts missing facts in an incomplete...

0 Harkanwar Singh, et al. ∙

research

∙ 04/18/2021

CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion

Pre-trained language models (LMs) like BERT have shown to store factual ...

12 Keshav Kolluru, et al. ∙

research

∙ 04/17/2021

DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction

Distant supervision (DS) is a well established technique for creating la...

0 Abhyuday Bhartiya, et al. ∙

research

∙ 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...

0 Keshav Kolluru, et al. ∙

research

∙ 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...

0 Danish Contractor, et al. ∙

research

∙ 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...

19 Yatin Nandwani, et al. ∙

research

∙ 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...

0 Rajas Bansal, et al. ∙

research

∙ 05/17/2020

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

While traditional systems for Open Information Extraction were statistic...

0 Keshav Kolluru, et al. ∙

research

∙ 05/02/2020

Knowledge Base Completion: Baseline strikes back (Again)

Knowledge Base Completion has been a very active area recently, where mu...

0 Prachi Jain, et al. ∙

research

∙ 05/01/2020

Knowledge Base Inference for Regular Expression Queries

Two common types of tasks on Knowledge Bases have been studied – single ...

0 Vaibhav Adlakha, et al. ∙

research

∙ 05/01/2020

Why and when should you pool? Analyzing Pooling in Recurrent Architectures

Pooling-based recurrent neural architectures consistently outperform the...

0 Pratyush Maini, et al. ∙

research

∙ 04/30/2020

Unsupervised Learning of KB Queries in Task Oriented Dialogs

Task-oriented dialog (TOD) systems converse with users to accomplish a s...

0 Dinesh Raghu, et al. ∙

research

∙ 04/14/2020

A Simple Yet Strong Pipeline for HotpotQA

State-of-the-art models for multi-hop question answering typically augme...

0 Dirk Groeneveld, et al. ∙

research

∙ 02/18/2020

Generalized Neural Policies for Relational MDPs

A Relational Markov Decision Process (RMDP) is a first-order representat...

0 Sankalp Garg, et al. ∙

research

∙ 09/08/2019

Large Scale Question Answering using Tourism Data

Real world question answering can be significantly more complex than wha...

0 Danish Contractor, et al. ∙

research

∙ 02/08/2019

Size Independent Neural Transfer for RDDL Planning

Neural planners for RDDL MDPs produce deep reactive policies in an offli...

0 Sankalp Garg, et al. ∙

research

∙ 10/26/2018

Transfer of Deep Reactive Policies for MDP Planning

Domain-independent probabilistic planners input an MDP description in a ...

0 Aniket Bajpai, et al. ∙

research

∙ 07/02/2018

Block-Value Symmetries in Probabilistic Graphical Models

Several lifted inference algorithms for probabilistic graphical models f...

0 Gagan Madan, et al. ∙

research

∙ 05/03/2018

Hierarchical Pointer Memory Network for Task Oriented Dialogue

We observe that end-to-end memory networks (MN) trained for task-oriente...

0 Dinesh Raghu, et al. ∙

research

∙ 07/27/2017

Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models

Lifted inference algorithms commonly exploit symmetries in a probabilist...

0 Ankit Anand, et al. ∙

research

∙ 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...

0 Haroun Habeeb, et al. ∙

research

∙ 06/02/2017

Joint Matrix-Tensor Factorization for Knowledge Base Inference

While several matrix factorization (MF) and tensor factorization (TF) mo...

0 Prachi Jain, et al. ∙

research

∙ 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...

0 Karan Goel, et al. ∙

research

∙ 06/30/2016

Contextual Symmetries in Probabilistic Graphical Models

An important approach for efficient inference in probabilistic graphical...

0 Ankit Anand, et al. ∙

research

∙ 01/16/2014

Topological Value Iteration Algorithms

Value iteration is a powerful yet inefficient algorithm for Markov decis...

0 Xin Yu, et al. ∙

research

∙ 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...

0 Nicolas Meuleau, et al. ∙

research

∙ 10/16/2012

A Theory of Goal-Oriented MDPs with Dead Ends

Stochastic Shortest Path (SSP) MDPs is a problem class widely studied in...

0 Andrey Kolobov, et al. ∙

research

∙ 10/16/2012

Crowdsourcing Control: Moving Beyond Multiple Choice

To ensure quality results from crowdsourced tasks, requesters often aggr...

0 Christopher H. Lin, et al. ∙

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