← Authors

Fahim Dalvi

41 papers · 2017–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (54) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🌍 Conference Polyglot (10) 🌟 Keyword Trendsetter Combo (3) πŸ‘₯ Mega-Team (46) 🀝 Dynamic Duo (41) πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution πŸ† Keyword Champion (4) ❓ The Questioner (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (152) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (41) πŸš€ Conference Pioneer

Conferences

EMNLP (11) ACL (7) EACL (6) NAACL (4) AAAI (3) COLING (3) IJCNLP (3) ICLR (2) JMLR (1) NIPS (1)

Top co-authors

Nadir Durrani (41) Hassan Sajjad (30) Yonatan Belinkov (11) Ahmed Abdelali (10) Firoj Alam (9) Basel Mousi (7) James Glass (6) Hamdy Mubarak (5) Stephan Vogel (5) Majd Hawasly (5)

Keywords

representation learning (11) neural machine translation (7) model interpretability (6) neuron analysis (6) latent concept (4) transformer model (4) neural network (4) machine translation (4) large language model (4) hierarchical clustering (3) nlp model (3) natural language processing (3) attention mechanism (3) pre-trained language model (3) word representation (3) multilingual nlp (3) language model (3) few-shot learning (2) model analysis (2) clustering analysis (2)

Papers

An Exploration of Knowledge Editing for Arabic EMNLP 2025
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs COLING 2025
Editing Across Languages: A Survey of Multilingual Knowledge Editing EMNLP 2025
Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing EMNLP 2025
Scaling up Discovery of Latent Concepts in Deep NLP Models EACL 2024
Latent Concept-based Explanation of NLP Models EMNLP 2024
Exploring Alignment in Shared Cross-lingual Spaces ACL 2024
LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking EACL 2024
LAraBench: Benchmarking Arabic AI with Large Language Models EACL 2024
NeuroX Library for Neuron Analysis of Deep NLP Models ACL 2023
Evaluating Neuron Interpretation Methods of NLP Models NIPS 2023
ConceptX: A Framework for Latent Concept Analysis AAAI 2023
Discovering Salient Neurons in deep NLP models JMLR 2023
NxPlain: A Web-based Tool for Discovery of Latent Concepts EACL 2023
Can LLMs Facilitate Interpretation of Pre-trained Language Models? EMNLP 2023
Analyzing Encoded Concepts in Transformer Language Models NAACL 2022
Effect of Post-processing on Contextualized Word Representations COLING 2022
On the Transformation of Latent Space in Fine-Tuned NLP Models EMNLP 2022
Post-hoc analysis of Arabic transformer models EMNLP 2022
NatiQ: An End-to-end Text-to-Speech System for Arabic EMNLP 2022
Discovering Latent Concepts Learned in BERT ICLR 2022
Fine-grained Interpretation and Causation Analysis in Deep NLP Models NAACL 2021
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society EMNLP 2021
How transfer learning impacts linguistic knowledge in deep NLP models? IJCNLP 2021
How transfer learning impacts linguistic knowledge in deep NLP models? ACL 2021
Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN ACL 2020
Similarity Analysis of Contextual Word Representation Models ACL 2020
AraBench: Benchmarking Dialectal Arabic-English Machine Translation COLING 2020
Analyzing Individual Neurons in Pre-trained Language Models EMNLP 2020
NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks AAAI 2019
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities NAACL 2019
Identifying and Controlling Important Neurons in Neural Machine Translation ICLR 2019
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models AAAI 2019
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation NAACL 2018
What do Neural Machine Translation Models Learn about Morphology? ACL 2017
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging ACL 2017
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks IJCNLP 2017
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder IJCNLP 2017
The SUMMA Platform Prototype EACL 2017
QCRI Live Speech Translation System EACL 2017