Pratyay Banerjee

Orcid: 0000-0001-5634-410X

According to our database1, Pratyay Banerjee authored at least 33 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Examining the Implications of Deepfakes for Election Integrity.
CoRR, 2024

"Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Towards Improved Multi-Source Attribution for Long-Form Answer Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ProMISe: A Proactive Multi-turn Dialogue Dataset for Information-seeking Intent Resolution.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models.
CoRR, 2023

Analysis of DNA sequences through local distribution of nucleotides in strategic neighborhoods.
CoRR, 2023

2022
Learning Action-Effect Dynamics from Pairs of Scene-graphs.
CoRR, 2022

Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Lexi: Self-Supervised Learning of the UI Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Unsupervised Natural Language Inference Using PHL Triplet Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Semantically Distributed Robust Optimization for Vision-and-Language Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering.
ACM Trans. Comput. Heal., 2021

Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling.
CoRR, 2021

Self-Supervised Test-Time Learning for Reading Comprehension.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Commonsense Reasoning with Implicit Knowledge in Natural Language.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Constructing Flow Graphs from Procedural Cybersecurity Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

WeaQA: Weak Supervision via Captions for Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Can Transformers Reason About Effects of Actions?
CoRR, 2020

Self-Supervised VQA: Answering Visual Questions using Images and Captions.
CoRR, 2020

Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering.
CoRR, 2020

Natural Language QA Approaches using Reasoning with External Knowledge.
CoRR, 2020

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

VQA-LOL: Visual Question Answering Under the Lens of Logic.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Knowledge Guided Named Entity Recognition.
CoRR, 2019

Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering.
CoRR, 2019

ASU at TextGraphs 2019 Shared Task: Explanation ReGeneration using Language Models and Iterative Re-Ranking.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Careful Selection of Knowledge to Solve Open Book Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


  Loading...