Niket Tandon

According to our database1, Niket Tandon authored at least 67 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PROC2PDDL: Open-Domain Planning Representations from Texts.
CoRR, 2024

Calibrating Large Language Models with Sample Consistency.
CoRR, 2024

In-Context Principle Learning from Mistakes.
CoRR, 2024

OpenPI2.0: An Improved Dataset for Entity Tracking in Texts.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR, 2023

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR, 2023

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models.
CoRR, 2023

Editing Commonsense Knowledge in GPT.
CoRR, 2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Aligning Language Models to User Opinions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Editing Common Sense in Transformers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Memory-assisted prompt editing to improve GPT-3 after deployment.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Conditional set generation using Seq2seq models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Using Commonsense Knowledge to Answer Why-Questions.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CSK-SNIFFER: Commonsense Knowledge for Sniffing Object Detection Errors.
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

2021
Improving scripts with a memory of natural feedback.
CoRR, 2021

Interscript: A dataset for interactive learning of scripts through error feedback.
CoRR, 2021

Improving Neural Model Performance through Natural Language Feedback on Their Explanations.
CoRR, 2021

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.
CoRR, 2021

CURIE: An Iterative Querying Approach for Reasoning About Situations.
CoRR, 2021

Information to Wisdom: Commonsense Knowledge Extraction and Compilation.
Proceedings of the WSDM '21, 2021

proScript: Partially Ordered Scripts Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Think about it! Improving defeasible reasoning by first modeling the question scenario.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Could you give me a hint ? Generating inference graphs for defeasible reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations.
CoRR, 2020

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
AI Mag., 2020

Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

A Dataset for Tracking Entities in Open Domain Procedural Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

What-if I ask you to explain: Explaining the effects of perturbations in procedural text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

WIQA: A dataset for "What if..." reasoning over procedural text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptation of SRL Systems for Biological Processes.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text.
CoRR, 2018

VISIR: Visual and Semantic Image Label Refinement.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Domain-Targeted, High Precision Knowledge Extraction.
Trans. Assoc. Comput. Linguistics, 2017

Commonsense Knowledge in Machine Intelligence.
SIGMOD Rec., 2017

Movie Description.
Int. J. Comput. Vis., 2017

Distilling Task Knowledge from How-To Communities.
Proceedings of the 26th International Conference on World Wide Web, 2017

WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Commonsense knowledge acquisition and applications.
PhD thesis, 2016

"Seeing is believing: the quest for multimodal knowledge" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator.
SIGWEB Newsl., 2016

Learning Language-Visual Embedding for Movie Understanding with Natural-Language.
CoRR, 2016

WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge.
Proceedings of the Semantic Web - ISWC 2016, 2016

Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

Know2Look: Commonsense Knowledge for Visual Search.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Lights, Camera, Action: Knowledge Extraction from Movie Scripts.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Neural Word Representations from Large-Scale Commonsense Knowledge.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

A dataset for Movie Description.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Knowlywood: Mining Activity Knowledge From Hollywood Narratives.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Perceptually Grounded Selectional Preferences.
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

Multimedia Data for the Visually Impaired.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
WebChild: harvesting and organizing commonsense knowledge from the web.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Acquiring Comparative Commonsense Knowledge from the Web.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012
Markov Chains for Robust Graph-Based Commonsense Information Extraction.
Proceedings of the COLING 2012, 2012

2011
Deriving a Web-Scale Common Sense Fact Database.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A weighted tag similarity measure based on a collaborative weight model.
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010

2009
Simulation of Coordinating Sniffer Robots for Building Odor Maps.
Proceedings of the First International Conference on Computational Intelligence, 2009


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