Bhuwan Dhingra

Orcid: 0000-0002-6874-9515

According to our database1, Bhuwan Dhingra authored at least 51 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Extracting Polymer Nanocomposite Samples from Full-Length Documents.
CoRR, 2024

LLM-Resistant Math Word Problem Generation via Adversarial Attacks.
CoRR, 2024

Calibrating Long-form Generations from Large Language Models.
CoRR, 2024

Hierarchical Multi-Label Classification of Online Vaccine Concerns.
CoRR, 2024

2023
Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Selectively Answering Ambiguous Questions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning the Legibility of Visual Text Perturbations.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

DiffQG: Generating Questions to Summarize Factual Changes.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Salient Span Masking for Temporal Understanding.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?
Trans. Assoc. Comput. Linguistics, 2022

Time-Aware Language Models as Temporal Knowledge Bases.
Trans. Assoc. Comput. Linguistics, 2022

On the State of the Art in Authorship Attribution and Authorship Verification.
CoRR, 2022

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models.
CoRR, 2022

ASQA: Factoid Questions Meet Long-Form Answers.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Differentiable Open-Ended Commonsense Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Fool Me Twice: Entailment from Wikipedia Gamification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Siamese Bert for Authorship Verification.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Investigating the Effect of Background Knowledge on Natural Questions.
Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020
Evaluating Explanations: How much do explanations from the teacher aid students?
CoRR, 2020

Differentiable Reasoning over a Virtual Knowledge Base.
Proceedings of the 8th International Conference on Learning Representations, 2020

Weakly- and Semi-supervised Evidence Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ToTTo: A Controlled Table-To-Text Generation Dataset.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Deceive with Attention-Based Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Probing Biomedical Embeddings from Language Models.
CoRR, 2019

Text Generation with Exemplar-based Adaptive Decoding.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

PubMedQA: A Dataset for Biomedical Research Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Combating Adversarial Misspellings with Robust Word Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.
CoRR, 2018

Embedding Text in Hyperbolic Spaces.
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

GLoMo: Unsupervised Learning of Transferable Relational Graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Neural Models for Reasoning over Multiple Mentions Using Coreference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Question Answering from Unstructured Text by Retrieval and Comprehension.
CoRR, 2017

Linguistic Knowledge as Memory for Recurrent Neural Networks.
CoRR, 2017

Quasar: Datasets for Question Answering by Search and Reading.
CoRR, 2017

A Comparative Study of Word Embeddings for Reading Comprehension.
CoRR, 2017

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Words or Characters? Fine-grained Gating for Reading Comprehension.
Proceedings of the 5th International Conference on Learning Representations, 2017

Gated-Attention Readers for Text Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A User Simulator for Task-Completion Dialogues.
CoRR, 2016

End-to-End Reinforcement Learning of Dialogue Agents for Information Access.
CoRR, 2016

Gated-Attention Readers for Text Comprehension.
CoRR, 2016

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Tweet2Vec: Character-Based Distributed Representations for Social Media.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016


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