Masum Hasan^*, Tanveer Muttaqueen^*, Abdullah Al Ishtiaq, Kazi Sajeed Mehrab, Md. Mahim Anjum Haque, Tahmid Hasan, Wasi Uddin Ahmad, Anindya Iqbal, and Rifat Shahriyar.

[Paper] [Code]

Intent Classification and Slot Filling for Privacy Policies

Published in ACL, 2021

Wasi Uddin Ahmad^*, Jianfeng Chi^*, Tu Le, Thomas Norton, Yuan Tian, and Kai-Wei Chang.

[Paper] [Presentation] [Code]

Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention

Published in ACL, 2021

Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, and Kai-Wei Chang.

[Paper] [Presentation]

Syntax-augmented Multilingual BERT for Cross-lingual Transfer

Published in ACL, 2021

Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, and Yashar Mehdad.

[Paper] [Presentation] [Code]

Retrieval Augmented Code Generation and Summarization

Published in Findings of the ACL: EMNLP, 2021

Md Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang.

[Paper] [Presentation] [Code]

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training

Published in EMNLP, 2021

Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, and Kai-Wei Chang.

[Paper] [Presentation] [Code]

Cross-lingual Representation Learning for Natural Language Processing

Published in UCLA Electronic Theses and Dissertations, 2021

Wasi Uddin Ahmad

[Paper] [Presentation]

BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla

Published in Findings of the ACL: NAACL, 2022

Abhik Bhattacharjee^*, Tahmid Hasan^*, Wasi Uddin Ahmad, Kazi Samin, Md Saiful Islam, Anindya Iqbal, M. Sohel Rahman, and Rifat Shahriyar.

[Paper] [Code]

Representation Learning for Resource-Constrained Keyphrase Generation

Published in Findings of the ACL: EMNLP, 2022

Di Wu, Wasi Uddin Ahmad, Sunipa Dev, and Kai-Wei Chang.

[Paper] [Code]

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study

Published in arXiv, 2022

Di Wu, Wasi Uddin Ahmad, and Kai-Wei Chang.

[Paper] [Code]

Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies

Published in EACL, 2023

Md Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, and Kai-Wei Chang.

[Paper] [Code]

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

Published in EACL, 2023

Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang.

[Paper] [Code]

BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla

Published in Findings of the ACL: EACL, 2023

Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, and Rifat Shahriyar.

[Paper] [Code]

Multi-lingual Evaluation of Code Generation Models

Published in ICLR, 2023

Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, and Bing Xiang.

[Paper] [Code]

FixEval: Execution-based Evaluation of Program Fixes for Programming Problems

Published in APR, 2023

Md Mahim Anjum Haque, Wasi Uddin Ahmad, Ismini Lourentzou, and Chris Brown.

[Paper] [Code]

AVATAR: A Parallel Corpus for Java-Python Program Translation

Published in Findings of the ACL, 2023

Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, and Kai-Wei Chang.

[Paper] [Code]

CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs

Published in ACL, 2023

Tahmid Hasan, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, and Rifat Shahriyar.

[Paper] [Code]

ContraCLM: Contrastive Learning For Causal Language Model

Published in ACL, 2023

Nihal Jain^*, Dejiao Zhang^*, Wasi Uddin Ahmad^*, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, and Bing Xiang.

[Paper] [Code]

PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English

Published in ACL, 2023

Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, and Kai-Wei Chang.

[Paper] [Code]

Greener yet Powerful: Taming Large Code Generation Models with Quantization

Published in ESEC/FSE, 2023

Xiaokai Wei, Sujan Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, and Bing Xiang.

[Paper] [Code]

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Published in NeurIPS Datasets and Benchmarks Track, 2023

Yangruibo Ding^*, Zijian Wang^*, Wasi Uddin Ahmad^*, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, and Bing Xiang.

[Paper] [Presentation] [Code] [Webpage]

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models

Published in EMNLP, 2023

Di Wu, Wasi Uddin Ahmad, and Kai-Wei Chang.

[Paper] [Code]

CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context

Published in LREC-COLING, 2024

Yangruibo Ding^*, Zijian Wang^*, Wasi Uddin Ahmad^*, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, and Bing Xiang.

[Paper] [Code]

On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation

Published in LREC-COLING, 2024

Di Wu, Wasi Uddin Ahmad, and Kai-Wei Chang.

[Paper] [Code]

Code Representation Learning At Scale

Published in ICLR, 2024

Dejiao Zhang^*, Wasi Uddin Ahmad^*, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, and Bing Xiang.

[Paper] [Code] [Webpage]

Repoformer: Selective Retrieval for Repository-Level Code Completion

Published in ICML, 2024

Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, and Xiaofei Ma.

[Paper] [Code] [Webpage]

IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models

Published in COLM, 2024

Haz Sameen Shahgir^*, Khondker Salman Sayeed^*, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yue Dong, and Rifat Shahriyar.

[Paper] [Code] [Webpage]

LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation

Published in NAACL, 2025

Sachit Kuhar, Wasi Uddin Ahmad, Zijian Wang, Nihal Jain, Haifeng Qian, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, and Anoop Deoras.

[Paper] [Code] [Webpage]

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs

Published in arXiv, 2025

Wasi Uddin Ahmad, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Vahid Noroozi, Somshubra Majumdar, and Boris Ginsburg.

[Paper] [Datasets]

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Published in arXiv, 2025

Wasi Uddin Ahmad^*, Sean Narenthiran^*, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, and Boris Ginsburg.

[Paper] [Datasets]

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

Published in arXiv, 2025

NVIDIA: Wasi Uddin Ahmad (Contributed to Data), and 198 others.

[Paper] [Models] [Webpage]

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models

Published in ACL (Industry Track), 2025

Somshubra Majumdar, Vahid Noroozi, Mehrzad Samadi, Sean Narenthiran, Aleksander Ficek, Wasi Uddin Ahmad, Jocelyn Huang, Jagadeesh Balam, and Boris Ginsburg.

[Paper] [Code]

Llama-Nemotron: Efficient Reasoning Models

Published in arXiv, 2025

NVIDIA: Wasi Uddin Ahmad (Contributed to Data), and 123 others.

[Paper] [Datasets] [Models]

From Output to Evaluation: Does Raw Instruction-Tuned Code LLMs Output Suffice for Fill-in-the-Middle Code Generation?

Published in arXiv, 2025

Wasi Uddin Ahmad, Somshubra Majumdar, and Boris Ginsburg.

[Paper]

talks

Multi-Task Machine Learning

Published: November 03, 2017

I will talk about multi-task learning methods and some recent works in deep learning.

Context Attentive Document Ranking and Query Suggestion

Published: July 23, 2019

In this talk, I will introduce a Context Attentive Document Ranking and Query Suggestion Model based on a two-level hierarchical recurrent neural network to learn search context representation of individual queries, search tasks, and corresponding dependency structure.

Representation Learning for Low-resource Language Processing

Published: April 16, 2021

In this talk, I will present our works on representation learning for low-resource language processing.

Representation Learning for Low-resource Language Processing

Published: May 25, 2021

In this talk, I will present our works on representation learning for low-resource language processing.

Md Khurram Monir Rabby

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