QCRI's Machine Translation Systems for IWSLT'16. - Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001; Stephan Vogel (IWSLT, 2016)

QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features. - Mohamed Eldesouki; Fahim Dalvi; Hassan Sajjad 001; Kareem Darwish (VarDial@COLING, 2016)

What do Neural Machine Translation Models Learn about Morphology? - Yonatan Belinkov; Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001; James R. Glass (ACL (1), 2017)

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. - Hassan Sajjad 001; Fahim Dalvi; Nadir Durrani; Ahmed Abdelali; Yonatan Belinkov; Stephan Vogel (ACL (2), 2017)

QCRI Live Speech Translation System. - Fahim Dalvi; Yifan Zhang; Sameer Khurana; Nadir Durrani; Hassan Sajjad 001; Ahmed Abdelali; Hamdy Mubarak; Ahmed M. Ali 002; Stephan Vogel (EACL (Software Demonstrations), 2017)

The SUMMA Platform Prototype. - Renars Liepins; Ulrich Germann; Guntis Barzdins; Alexandra Birch; Steve Renals; Susanne Weber; Peggy van der Kreeft; Hervé Bourlard; João Prieto; Ondrej Klejch; Peter Bell 001; Alexandros Lazaridis; et al. (EACL (Software Demonstrations), 2017)

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. - Yonatan Belinkov; Lluís Màrquez; Hassan Sajjad 001; Nadir Durrani; Fahim Dalvi; James R. Glass (IJCNLP(1), 2017)

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder. - Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001; Yonatan Belinkov; Stephan Vogel (IJCNLP(1), 2017)

Continuous Space Reordering Models for Phrase-based MT. - Nadir Durrani; Fahim Dalvi (IWSLT, 2017)

Neural Machine Translation Training in a Multi-Domain Scenario. - Hassan Sajjad 001; Nadir Durrani; Fahim Dalvi; Yonatan Belinkov; Stephan Vogel (IWSLT, 2017)

Sign Language Recognition Using Temporal Classification. - Hardie Cate; Fahim Dalvi; Zeshan Hussain (CoRR, 2017)

DeepFace: Face Generation using Deep Learning. - Hardie Cate; Fahim Dalvi; Zeshan Hussain (CoRR, 2017)

QCRI Machine Translation Systems for IWSLT 16. - Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001; Stephan Vogel (CoRR, 2017)

Qlusty: Quick and Dirty Generation of Event Videos from Written Media Coverage. - Alberto Barrón-Cedeño; Giovanni Da San Martino; Yifan Zhang; Ahmed M. Ali 002; Fahim Dalvi (NewsIR@ECIR, 2018)

Group Identification in Crowded Environments Using Proximity Sensing. - Shaden Shaar; Saquib Razak; Fahim Dalvi; Syed Ali Hashim Moosavi (LCN, 2018)

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation. - Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001; Stephan Vogel (NAACL-HLT (2), 2018)

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. - Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001; Yonatan Belinkov; Anthony Bau; James R. Glass (AAAI, 2019)

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. - Fahim Dalvi; Avery Nortonsmith; Anthony Bau; Yonatan Belinkov; Hassan Sajjad 001; Nadir Durrani; James R. Glass (AAAI, 2019)

Identifying and Controlling Important Neurons in Neural Machine Translation. - Anthony Bau; Yonatan Belinkov; Hassan Sajjad 001; Nadir Durrani; Fahim Dalvi; James R. Glass (ICLR (Poster), 2019)

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities. - Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001; Yonatan Belinkov; Preslav Nakov (NAACL-HLT (1), 2019)

Rumour verification through recurring information and an inner-attention mechanism. - Ahmet Aker; Alfred Sliwa; Fahim Dalvi; Kalina Bontcheva (Online Soc. Networks Media, 2019)

Similarity Analysis of Contextual Word Representation Models. - John M. Wu; Yonatan Belinkov; Hassan Sajjad 001; Nadir Durrani; Fahim Dalvi; James R. Glass (ACL, 2020)

AraBench: Benchmarking Dialectal Arabic-English Machine Translation. - Hassan Sajjad 001; Ahmed Abdelali; Nadir Durrani; Fahim Dalvi (COLING, 2020)

Analyzing Redundancy in Pretrained Transformer Models. - Fahim Dalvi; Hassan Sajjad 001; Nadir Durrani; Yonatan Belinkov (EMNLP (1), 2020)

Analyzing Individual Neurons in Pre-trained Language Models. - Nadir Durrani; Hassan Sajjad 001; Fahim Dalvi; Yonatan Belinkov (EMNLP (1), 2020)

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN. - Ebrahim Ansari; Amittai Axelrod; Nguyen Bach; Ondrej Bojar; Roldano Cattoni; Fahim Dalvi; Nadir Durrani; Marcello Federico; Christian Federmann; Jiatao Gu; Fei Huang 002; Kevin Knight; et al. (IWSLT, 2020)

On the Linguistic Representational Power of Neural Machine Translation Models. - Yonatan Belinkov; Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001; James R. Glass (Comput. Linguistics, 2020)

Poor Man's BERT: Smaller and Faster Transformer Models. - Hassan Sajjad 001; Fahim Dalvi; Nadir Durrani; Preslav Nakov (CoRR, 2020)

Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning. - Fahim Dalvi; Hassan Sajjad 001; Nadir Durrani; Yonatan Belinkov (CoRR, 2020)

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. - Firoj Alam; Shaden Shaar; Alex Nikolov; Hamdy Mubarak; Giovanni Da San Martino; Ahmed Abdelali; Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001; Kareem Darwish; Preslav Nakov (CoRR, 2020)

How transfer learning impacts linguistic knowledge in deep NLP models? - Nadir Durrani; Hassan Sajjad 001; Fahim Dalvi (ACL/IJCNLP (Findings), 2021)

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. - Firoj Alam; Shaden Shaar; Fahim Dalvi; Hassan Sajjad 001; Alex Nikolov; Hamdy Mubarak; Giovanni Da San Martino; Ahmed Abdelali; Nadir Durrani; Kareem Darwish; Abdulaziz Al-Homaid; Wajdi Zaghouani; et al. (EMNLP (Findings), 2021)

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. - Firoj Alam; Fahim Dalvi; Shaden Shaar; Nadir Durrani; Hamdy Mubarak; Alex Nikolov; Giovanni Da San Martino; Ahmed Abdelali; Hassan Sajjad 001; Kareem Darwish; Preslav Nakov (ICWSM, 2021)

Fine-grained Interpretation and Causation Analysis in Deep NLP Models. - Hassan Sajjad 001; Narine Kokhlikyan; Fahim Dalvi; Nadir Durrani (CoRR, 2021)

Post-hoc analysis of Arabic transformer models. - Ahmed Abdelali; Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001 (BlackboxNLP@EMNLP, 2022)

Effect of Post-processing on Contextualized Word Representations. - Hassan Sajjad 001; Firoj Alam; Fahim Dalvi; Nadir Durrani (COLING, 2022)

On the Transformation of Latent Space in Fine-Tuned NLP Models. - Nadir Durrani; Hassan Sajjad 001; Fahim Dalvi; Firoj Alam (EMNLP, 2022)

Discovering Latent Concepts Learned in BERT. - Fahim Dalvi; Abdul Rafae Khan; Firoj Alam; Nadir Durrani; Jia Xu 004; Hassan Sajjad 001 (ICLR, 2022)

Analyzing Encoded Concepts in Transformer Language Models. - Hassan Sajjad 001; Nadir Durrani; Fahim Dalvi; Firoj Alam; Abdul Rafae Khan; Jia Xu 004 (NAACL-HLT, 2022)

NatiQ: An End-to-end Text-to-Speech System for Arabic. - Ahmed Abdelali; Nadir Durrani; Cenk Demiroglu; Fahim Dalvi; Hamdy Mubarak; Kareem Darwish (WANLP@EMNLP, 2022)

QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media. - Preslav Nakov; Firoj Alam; Yifan Zhang; Animesh Prakash; Fahim Dalvi (CoRR, 2022)

Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP models. - Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001 (CoRR, 2022)

Neuron-level Interpretation of Deep NLP Models: A Survey. - Hassan Sajjad 001; Nadir Durrani; Fahim Dalvi (Trans. Assoc. Comput. Linguistics, 2022)

ConceptX: A Framework for Latent Concept Analysis. - Firoj Alam; Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001; Abdul Rafae Khan; Jia Xu 004 (AAAI, 2023)

NeuroX Library for Neuron Analysis of Deep NLP Models. - Fahim Dalvi; Hassan Sajjad 001; Nadir Durrani (ACL (demo), 2023)

NxPlain: A Web-based Tool for Discovery of Latent Concepts. - Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001; Tamim Jaban; Mus'ab Husaini; Ummar Abbas (EACL (System Demonstrations), 2023)

Can LLMs Facilitate Interpretation of Pre-trained Language Models? - Basel Mousi; Nadir Durrani; Fahim Dalvi (EMNLP, 2023)

Evaluating Neuron Interpretation Methods of NLP Models. - Yimin Fan; Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001 (NeurIPS, 2023)

Benchmarking Arabic AI with Large Language Models. - Ahmed Abdelali; Hamdy Mubarak; Shammur Absar Chowdhury; Maram Hasanain; Basel Mousi; Sabri Boughorbel; Yassine El Kheir; Daniel Izham; Fahim Dalvi; Majd Hawasly; Nizi Nazar; Yousseif Elshahawy; et al. (CoRR, 2023)

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking. - Fahim Dalvi; Maram Hasanain; Sabri Boughorbel; Basel Mousi; Samir Abdaljalil; Nizi Nazar; Ahmed Abdelali; Shammur Absar Chowdhury; Hamdy Mubarak; Ahmed Ali 002; Majd Hawasly; Nadir Durrani; et al. (CoRR, 2023)

Scaled-up Discovery of Latent Concepts in Deep NLP Models. - Majd Hawasly; Fahim Dalvi; Nadir Durrani (CoRR, 2023)

On the effect of dropping layers of pre-trained transformer models. - Hassan Sajjad 001; Fahim Dalvi; Nadir Durrani; Preslav Nakov (Comput. Speech Lang., 2023)

Discovering Salient Neurons in deep NLP models. - Nadir Durrani; Fahim Dalvi; Hassan Sajjad 001 (J. Mach. Learn. Res., 2023)

Exploring Alignment in Shared Cross-lingual Spaces. - Basel Mousi; Nadir Durrani; Fahim Dalvi; Majd Hawasly; Ahmed Abdelali (ACL (1), 2024)

LAraBench: Benchmarking Arabic AI with Large Language Models. - Ahmed Abdelali; Hamdy Mubarak; Shammur Absar Chowdhury; Maram Hasanain; Basel Mousi; Sabri Boughorbel; Samir Abdaljalil; Yassine El Kheir; Daniel Izham; Fahim Dalvi; Majd Hawasly; Nizi Nazar; et al. (EACL (1), 2024)

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking. - Fahim Dalvi; Maram Hasanain; Sabri Boughorbel; Basel Mousi; Samir Abdaljalil; Nizi Nazar; Ahmed Abdelali; Shammur Absar Chowdhury; Hamdy Mubarak; Ahmed Ali 002 (EACL (Demonstrations), 2024)

Scaling up Discovery of Latent Concepts in Deep NLP Models. - Majd Hawasly; Fahim Dalvi; Nadir Durrani (EACL (1), 2024)

Latent Concept-based Explanation of NLP Models. - Xuemin Yu; Fahim Dalvi; Nadir Durrani; Marzia Nouri; Hassan Sajjad 001 (EMNLP, 2024)

Latent Concept-based Explanation of NLP Models. - Xuemin Yu; Fahim Dalvi; Nadir Durrani; Hassan Sajjad 001 (CoRR, 2024)

AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs. - Basel Mousi; Nadir Durrani; Fatema Ahmad; Md. Arid Hasan; Maram Hasanain; Tameem Kabbani; Fahim Dalvi; Shammur Absar Chowdhury; Firoj Alam (COLING, 2025)

Fanar: An Arabic-Centric Multimodal Generative AI Platform. - Ummar Abbas; Mohammad Shahmeer Ahmad; Firoj Alam; Enes Altinisik; Ehsannedin Asgari; Yazan Boshmaf; Sabri Boughorbel; Sanjay Chawla; Shammur A. Chowdhury; Fahim Dalvi; Kareem Darwish; Nadir Durrani; et al. (CoRR, 2025)

Editing Across Languages: A Survey of Multilingual Knowledge Editing. - Nadir Durrani; Basel Mousi; Fahim Dalvi (CoRR, 2025)

From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models. - Asim Ersoy; Basel Mousi; Shammur A. Chowdhury; Firoj Alam; Fahim Dalvi; Nadir Durrani (CoRR, 2025)

An Exploration of Knowledge Editing for Arabic. - Basel Mousi; Nadir Durrani; Fahim Dalvi (CoRR, 2025)