Pranava Madhyastha

Pranava Madhyastha

Imperial College London

H-index: 15

Europe-United Kingdom

About Pranava Madhyastha

Pranava Madhyastha, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Machine Learning, Natural Language Processing, Computer Vision, Speech Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Neuro-Symbolic Learning and Reasoning in the era of Large Language Models (NuCLeaR)

Towards a unified model for generating answers and explanations in visual question answering

Formal and empirical studies of counting behaviour in ReLU RNNs

Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations

Towards visualisation specifications from multilingual natural language queries using large language models

A study towards contextual understanding of toxicity in online conversations

Towards preserving word order importance through Forced Invalidation

Augmenting Large Language Models with Symbolic Rule Learning for Robust Numerical Reasoning

Pranava Madhyastha Information

University

Position

___

Citations(all)

785

Citations(since 2020)

719

Cited By

284

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

20

i10Index(since 2020)

17

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Pranava Madhyastha Skills & Research Interests

Machine Learning

Natural Language Processing

Computer Vision

Speech Processing

Top articles of Pranava Madhyastha

Title

Journal

Author(s)

Publication Date

Neuro-Symbolic Learning and Reasoning in the era of Large Language Models (NuCLeaR)

Asim Munawar

Elham Barezi

Pranava Madhyastha

Abulhair Saparov

Alexander Gray

2024/2/20

Towards a unified model for generating answers and explanations in visual question answering

arXiv preprint arXiv:2301.10799

Chenxi Whitehouse

Tillman Weyde

Pranava Madhyastha

2023/1/25

Formal and empirical studies of counting behaviour in ReLU RNNs

Nadine El-Naggar

Andrew Ryzhikov

Laure Daviaud

Pranava Madhyastha

Tillman Weyde

2023/7/5

Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations

arXiv preprint arXiv:2306.13971

Xinyu Liu

Yan Ding

Kaikai An

Chunyang Xiao

Pranava Madhyastha

...

2023/6/24

Towards visualisation specifications from multilingual natural language queries using large language models

Maeve Hutchinson

Aidan Slingsby

Radu Jianu

Pranava Madhyastha

2023/6/13

A study towards contextual understanding of toxicity in online conversations

Natural Language Engineering

Pranava Madhyastha

Antigoni Founta

Lucia Specia

2023/11

Towards preserving word order importance through Forced Invalidation

arXiv preprint arXiv:2304.05221

Hadeel Al-Negheimish

Pranava Madhyastha

Alessandra Russo

2023/4/11

Augmenting Large Language Models with Symbolic Rule Learning for Robust Numerical Reasoning

Hadeel Al-Negheimish

Pranava Madhyastha

Alessandra Russo

2023/10/28

Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks

arXiv preprint arXiv:2304.03639

Nadine El-Naggar

Pranava Madhyastha

Tillman Weyde

2023/4/7

Are words equally surprising in audio and audio-visual comprehension?

arXiv preprint arXiv:2307.07277

Pranava Madhyastha

Ye Zhang

Gabriella Vigliocco

2023/7/14

Evaluation of fake news detection with knowledge-enhanced language models

Proceedings of the international AAAI conference on web and social media

Chenxi Whitehouse

Tillman Weyde

Pranava Madhyastha

Nikos Komninos

2022/5/31

Exploring the long-term generalization of counting behavior in RNNs

arXiv preprint arXiv:2211.16429

Nadine El-Naggar

Pranava Madhyastha

Tillman Weyde

2022/11/29

Towards Integration of Embodiment Features for Prosodic Prominence Prediction from Text

Pranava Madhyastha

2022/11/7

Experiments in learning Dyck-1 languages with recurrent neural networks

Proceedings of the 3rd Human-Like Computing Workshop

Nadine El-Naggar

Pranava Madhyastha

Tillman Weyde

2022/10/2

Belief revision based caption re-ranker with visual semantic information

arXiv preprint arXiv:2209.08163

Ahmed Sabir

Francesc Moreno-Noguer

Pranava Madhyastha

Lluís Padró

2022/9/16

Read, spot and translate

Machine Translation

Lucia Specia

Josiah Wang

Sun Jae Lee

Alissa Ostapenko

Pranava Madhyastha

2021/6

Cross-lingual visual pre-training for multimodal machine translation

Ozan Caglayan

Menekse Kuyu

Mustafa Sercan Amac

Pranava Madhyastha

Erkut Erdem

...

2021/4/20

Leveraging auxiliary image descriptions for dense video captioning

Pattern Recognition Letters

Emre Boran

Aykut Erdem

Nazli Ikizler-Cinbis

Erkut Erdem

Pranava Madhyastha

...

2021/6/1

A focused analysis of twitter-based disinformation from foreign influence operations

Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021)

Julio Amador Díaz López

Pranava Madhyastha

2021

Numerical reasoning in machine reading comprehension tasks: are we there yet?

Hadeel Al-Negheimish

Pranava Madhyastha

Alessandra Russo

2021/9/16

See List of Professors in Pranava Madhyastha University(Imperial College London)

Co-Authors

H-index: 68
Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

H-index: 53
Florian Metze

Florian Metze

Carnegie Mellon University

H-index: 51
Karen Livescu

Karen Livescu

Toyota Technological Institute

H-index: 50
Francesc Moreno-Noguer

Francesc Moreno-Noguer

Universidad Politécnica de Cataluña

H-index: 46
Kevin Gimpel

Kevin Gimpel

Toyota Technological Institute

H-index: 37
Raman Arora

Raman Arora

Johns Hopkins University

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