Fahim Dalvi

Orcid: 0000-0003-1183-7837

According to our database1, Fahim Dalvi authored at least 55 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Scaling up Discovery of Latent Concepts in Deep NLP Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

LAraBench: Benchmarking Arabic AI with Large Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
On the effect of dropping layers of pre-trained transformer models.
Comput. Speech Lang., 2023

Scaled-up Discovery of Latent Concepts in Deep NLP Models.
CoRR, 2023

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking.
CoRR, 2023

Benchmarking Arabic AI with Large Language Models.
CoRR, 2023

Evaluating Neuron Interpretation Methods of NLP Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can LLMs Facilitate Interpretation of Pre-trained Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NxPlain: A Web-based Tool for Discovery of Latent Concepts.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

NeuroX Library for Neuron Analysis of Deep NLP Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

ConceptX: A Framework for Latent Concept Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Neuron-level Interpretation of Deep NLP Models: A Survey.
Trans. Assoc. Comput. Linguistics, 2022

Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP models.
CoRR, 2022

QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media.
CoRR, 2022

NatiQ: An End-to-end Text-to-Speech System for Arabic.
Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

Analyzing Encoded Concepts in Transformer Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Discovering Latent Concepts Learned in BERT.
Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Transformation of Latent Space in Fine-Tuned NLP Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Effect of Post-processing on Contextualized Word Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Post-hoc analysis of Arabic transformer models.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models.
CoRR, 2021

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How transfer learning impacts linguistic knowledge in deep NLP models?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
CoRR, 2020

Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning.
CoRR, 2020

Poor Man's BERT: Smaller and Faster Transformer Models.
CoRR, 2020

On the Linguistic Representational Power of Neural Machine Translation Models.
Comput. Linguistics, 2020


Analyzing Individual Neurons in Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Analyzing Redundancy in Pretrained Transformer Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AraBench: Benchmarking Dialectal Arabic-English Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Similarity Analysis of Contextual Word Representation Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Rumour verification through recurring information and an inner-attention mechanism.
Online Soc. Networks Media, 2019

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Identifying and Controlling Important Neurons in Neural Machine Translation.
Proceedings of the 7th International Conference on Learning Representations, 2019

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Group Identification in Crowded Environments Using Proximity Sensing.
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018

Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage.
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

2017
QCRI Machine Translation Systems for IWSLT 16.
CoRR, 2017

DeepFace: Face Generation using Deep Learning.
CoRR, 2017

Sign Language Recognition Using Temporal Classification.
CoRR, 2017

Neural Machine Translation Training in a Multi-Domain Scenario.
Proceedings of the 14th International Conference on Spoken Language Translation, 2017

Continuous Space Reordering Models for Phrase-based MT.
Proceedings of the 14th International Conference on Spoken Language Translation, 2017

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017


QCRI Live Speech Translation System.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

What do Neural Machine Translation Models Learn about Morphology?
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features.
Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects, 2016

QCRI's Machine Translation Systems for IWSLT'16.
Proceedings of the 13th International Conference on Spoken Language Translation, 2016


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