Dheeraj Rajagopal

According to our database1, Dheeraj Rajagopal authored at least 34 papers between 2012 and 2024.

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Bibliography

2024
Scalable Influence and Fact Tracing for Large Language Model Pretraining.
CoRR, 2024

Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation.
CoRR, 2024

How Far Can We Extract Diverse Perspectives from Large Language Models?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting!
CoRR, 2023

AutoMix: Automatically Mixing Language Models.
CoRR, 2023

Template Filling for Controllable Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

StyLEx: Explaining Style Using Human Lexical Annotations.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
StyLEx: Explaining Styles with Lexicon-Based Human Perception.
CoRR, 2022

Counterfactual Data Augmentation improves Factuality of Abstractive Summarization.
CoRR, 2022

One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

2021
Cross-Domain Reasoning via Template Filling.
CoRR, 2021

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

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

SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

StructSum: Summarization via Structured Representations.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 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
EIGEN: Event Influence GENeration using Pre-trained Language Models.
CoRR, 2020

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization.
CoRR, 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

2019
Modeling the Relationship between User Comments and Edits in Document Revision.
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

Simple and Effective Semi-Supervised Question Answering.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning to Define Terms in the Software Domain.
Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

Gated-Attention Architectures for Task-Oriented Language Grounding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts.
Proceedings of the COLING 2016, 2016

2015
GECKA: Game Engine for Commonsense Knowledge Acquisition.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A graph-based approach to commonsense concept extraction and semantic similarity detection.
Proceedings of the 22nd International World Wide Web Conference, 2013

Commonsense-based topic modeling.
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 2013

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


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