Mausam

Orcid: 0000-0003-4088-4296

Affiliations:
  • Indian Institute of Technology Delhi, India
  • University of Washington, Seattle, WA, USA


According to our database1, Mausam authored at least 160 papers between 2004 and 2024.

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Bibliography

2024
RETINAQA : A Knowledge Base Question Answering Model Robust to both Answerable and Unanswerable Questions.
CoRR, 2024

PuzzleBench: Can LLMs Solve Challenging First-Order Combinatorial Reasoning Problems?
CoRR, 2024

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neuro-Symbolic Architectures for Combinatorial Problems in Structured Output Spaces.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images.
CoRR, 2023

Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering.
CoRR, 2023

CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation.
CoRR, 2023

Ensembling Textual and Structure-Based Models for Knowledge Graph Completion.
CoRR, 2023

AutoMix: Automatically Mixing Language Models.
CoRR, 2023

Towards Fair and Calibrated Models.
CoRR, 2023

Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction.
CoRR, 2023

MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models.
CoRR, 2023

Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs.
CoRR, 2023

NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs.
CoRR, 2023

SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

mOKB6: A Multilingual Open Knowledge Base Completion Benchmark.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multimodal Persona Based Generation of Comic Dialogs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis.
J. Artif. Intell. Res., 2022

DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles.
CoRR, 2022

GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following.
CoRR, 2022

Matching Papers and Reviewers at Large Conferences.
CoRR, 2022

Welcome back!
Commun. ACM, 2022

The New Faculty Highlights Program at AAAI-21.
AI Mag., 2022

SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Solver-free Framework for Scalable Learning in Neural ILP Architectures.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Models for Output-Space Invariance in Combinatorial Problems.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

"Covid vaccine is against Covid but Oxford vaccine is made at Oxford!" Semantic Interpretation of Proper Noun Compounds.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Joint Completion and Alignment of Multilingual Knowledge Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Unsupervised Learning of KB Queries in Task-Oriented Dialogs.
Trans. Assoc. Comput. Linguistics, 2021

Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions.
Nat. Lang. Eng., 2021

A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction.
CoRR, 2021

MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction.
CoRR, 2021

End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks.
CoRR, 2021

Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment.
CoRR, 2021

CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion.
CoRR, 2021

Joint Spatio-Textual Reasoning for Answering Tourism Questions.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces.
Proceedings of the 9th International Conference on Learning Representations, 2021

End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Answering POI-recommendation Questions using Tourism Reviews.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multilingual Knowledge Graph Completion With Joint Relation and Entity Alignment.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Regex Queries over Incomplete Knowledge Bases.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis.
CoRR, 2020

Knowledge Base Completion: Baseline strikes back (Again).
CoRR, 2020

Knowledge Base Inference for Regular Expression Queries.
CoRR, 2020

Generalized Neural Policies for Relational MDPs.
CoRR, 2020

Symbolic Network: Generalized Neural Policies for Relational MDPs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Why and when should you pool? Analyzing Pooling in Recurrent Architectures.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Simple Yet Strong Pipeline for HotpotQA.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

OxKBC: Outcome Explanation for Factorization Based Knowledge Base Completion.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

IMoJIE: Iterative Memory-Based Joint Open Information Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Large Scale Question Answering using Tourism Data.
CoRR, 2019

Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag., 2019

A Primal Dual Formulation For Deep Learning With Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Disentangling Language and Knowledge in Task-Oriented Dialogs.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

CaRB: A Crowdsourced Benchmark for Open IE.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Size Independent Neural Transfer for RDDL Planning.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Hierarchical Pointer Memory Network for Task Oriented Dialogue.
CoRR, 2018

Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism.
CoRR, 2018

Sprout: Crowd-Powered Task Design for Crowdsourcing.
Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, 2018

Block-Value Symmetries in Probabilistic Graphical Models.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Transfer of Deep Reactive Policies for MDP Planning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inferring Temporal Knowledge for Near-Periodic Recurrent Events.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Active Learning with Unbalanced Classes and Example-Generation Queries.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

Open Information Extraction from Conjunctive Sentences.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Joint Matrix-Tensor Factorization for Knowledge Base Inference.
CoRR, 2017

Coarse-to-Fine Lifted MAP Inference in Computer Vision.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Bootstrapping for Numerical Open IE.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
A Programming Language With a POMDP Inside.
CoRR, 2016

Knowledge-Guided Linguistic Rewrites for Inference Rule Verification.
Proceedings of the NAACL HLT 2016, 2016

Entity-balanced Gaussian pLSA for Automated Comparison.
Proceedings of the NAACL HLT 2016, 2016

Open Information Extraction Systems and Downstream Applications.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Contextual Symmetries in Probabilistic Graphical Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Optimal Testing for Crowd Workers.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Demonyms and Compound Relational Nouns in Nominal Open IE.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

OGA-UCT: On-the-Go Abstractions in UCT.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Numerical Relation Extraction with Minimal Supervision.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Re-Active Learning: Active Learning with Relabeling.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
ASAP-UCT: Abstraction of State-Action Pairs in UCT.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Novel Abstraction Framework for Online Planning: Extended Abstract.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Open IE as an Intermediate Structure for Semantic Tasks.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
To Re(label), or Not To Re(label).
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Parallel Task Routing for Crowdsourcing.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Hierarchical Summarization: Scaling Up Multi-Document Summarization.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Modeling Missing Data in Distant Supervision for Information Extraction.
Trans. Assoc. Comput. Linguistics, 2013

POMDP-based control of workflows for crowdsourcing.
Artif. Intell., 2013

Towards Coherent Multi-Document Summarization.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Towards a Language for Non-Expert Specification of POMDPs for Crowdsourcing.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Joint Crowdsourcing of Multiple Tasks.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

Crowdsourcing Multi-Label Classification for Taxonomy Creation.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Generating Coherent Event Schemas at Scale.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Planning with Markov Decision Processes: An AI Perspective
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01559-5, 2012

Discovering hidden structure in factored MDPs.
Artif. Intell., 2012

A Theory of Goal-Oriented MDPs with Dead Ends.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Entity Linking at Web Scale.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Rel-grams: A Probabilistic Model of Relations in Text.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Open domain event extraction from twitter.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Personalized Online Education - A Crowdsourcing Challenge.
Proceedings of the 4th Human Computation Workshop, 2012

Dynamically Switching between Synergistic Workflows for Crowdsourcing.
Proceedings of the 4th Human Computation Workshop, 2012

Crowdsourcing Control: Moving Beyond Multiple Choice.
Proceedings of the 4th Human Computation Workshop, 2012

Open Language Learning for Information Extraction.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors.
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

LRTDP Versus UCT for Online Probabilistic Planning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Topological Value Iteration Algorithms.
J. Artif. Intell. Res., 2011

Execution control for crowdsourcing.
Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, Santa Barbara, CA, USA, October 16-19, 2011, 2011

An analysis of open information extraction based on semantic role labeling.
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011

Towards Scalable MDP Algorithms.
Proceedings of the IJCAI 2011, 2011

Open Information Extraction: The Second Generation.
Proceedings of the IJCAI 2011, 2011

Named Entity Recognition in Tweets: An Experimental Study.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Heuristic Search for Generalized Stochastic Shortest Path MDPs.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

Human Intelligence Needs Artificial Intelligence.
Proceedings of the Human Computation, 2011

Artificial Intelligence for Artificial Artificial Intelligence.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Adapting Open Information Extraction to Domain-Specific Relations.
AI Mag., 2010

Panlingual lexical translation via probabilistic inference.
Artif. Intell., 2010

Identifying Functional Relations in Web Text.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Classical Planning in MDP Heuristics: with a Little Help from Generalization.
Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

A Latent Dirichlet Allocation Method for Selectional Preferences.
Proceedings of the ACL 2010, 2010

Commonsense from the Web: Relation Properties.
Proceedings of the Commonsense Knowledge, 2010

Panlingual Lexical Translation via Probabilistic Inference.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

SixthSense: Fast and Reliable Recognition of Dead Ends in MDPs.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Decision-Theoretic Control of Crowd-Sourced Workflows.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains.
J. Artif. Intell. Res., 2009

Lemmatic Machine Translation.
Proceedings of Machine Translation Summit XII: Papers, 2009

ReTrASE: Integrating Paradigms for Approximate Probabilistic Planning.
Proceedings of the IJCAI 2009, 2009

Domain-Independent, Automatic Partitioning for Probabilistic Planning.
Proceedings of the IJCAI 2009, 2009

Focused Topological Value Iteration.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference.
Proceedings of the ACL 2009, 2009

A Rose is a Roos is a Ruusu: Querying Translations for Web Image Search.
Proceedings of the ACL 2009, 2009

2008
Planning with Durative Actions in Stochastic Domains.
J. Artif. Intell. Res., 2008

Partitioned External-Memory Value Iteration.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A Hybridized Planner for Stochastic Domains.
Proceedings of the IJCAI 2007, 2007

When is Temporal Planning Really Temporal?
Proceedings of the IJCAI 2007, 2007

Evaluating Temporal Planning Domains.
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007

2006
Challenges for Temporal Planning with Uncertain Durations.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Probabilistic Temporal Planning with Uncertain Durations.
Proceedings of the Proceedings, 2006

2005
Planning with Continuous Resources in Stochastic Domains.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Concurrent Probabilistic Temporal Planning.
Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

2004
Adversarial classification.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Solving Concurrent Markov Decision Processes.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004


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