Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation. - Md. Akmal Haidar; Mehdi Rezagholizadeh; Alan Do-Omri; Ahmad Rashid (NAACL-HLT (1), 2019)

Bilingual-GAN: A Step Towards Parallel Text Generation. - Ahmad Rashid; Alan Do-Omri; Md. Akmal Haidar; Qun Liu 001; Mehdi Rezagholizadeh (CoRR, 2019)

Distilled embedding: non-linear embedding factorization using knowledge distillation. - Vasileios Lioutas; Ahmad Rashid; Krtin Kumar; Md. Akmal Haidar; Mehdi Rezagholizadeh (CoRR, 2019)

Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. - Vasileios Lioutas; Ahmad Rashid; Krtin Kumar; Md. Akmal Haidar; Mehdi Rezagholizadeh (EMNLP (Findings), 2020)

From Unsupervised Machine Translation to Adversarial Text Generation. - Ahmad Rashid; Alan Do-Omri; Md. Akmal Haidar; Qun Liu 001; Mehdi Rezagholizadeh (ICASSP, 2020)

End-to-End Self-Debiasing Framework for Robust NLU Training. - Abbas Ghaddar; Philippe Langlais; Mehdi Rezagholizadeh; Ahmad Rashid (ACL/IJCNLP (Findings), 2021)

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. - Ahmad Rashid; Vasileios Lioutas; Mehdi Rezagholizadeh (ACL/IJCNLP (1), 2021)

Knowledge Distillation with Noisy Labels for Natural Language Understanding. - Shivendra Bhardwaj; Abbas Ghaddar; Ahmad Rashid; Khalil Bibi; Chengyang Li; Ali Ghodsi 001; Philippe Langlais; Mehdi Rezagholizadeh (W-NUT, 2021)

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. - Tianda Li; Ahmad Rashid; Aref Jafari; Pranav Sharma; Ali Ghodsi 001; Mehdi Rezagholizadeh (EMNLP (Findings), 2021)

RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation. - Peng Lu; Abbas Ghaddar; Ahmad Rashid; Mehdi Rezagholizadeh; Ali Ghodsi 001; Philippe Langlais (EMNLP (Findings), 2021)

Towards Zero-Shot Knowledge Distillation for Natural Language Processing. - Ahmad Rashid; Vasileios Lioutas; Abbas Ghaddar; Mehdi Rezagholizadeh (EMNLP (1), 2021)

NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation. - David Alfonso-Hermelo; Ahmad Rashid; Abbas Ghaddar; Philippe Langlais; Mehdi Rezagholizadeh (NeurIPS Datasets and Benchmarks, 2021)

Robust Embeddings Via Distributions. - Kira A. Selby; Yinong Wang; Ruizhe Wang; Peyman Passban; Ahmad Rashid; Mehdi Rezagholizadeh; Pascal Poupart (CoRR, 2021)

How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. - Tianda Li; Ahmad Rashid; Aref Jafari; Pranav Sharma; Ali Ghodsi 001; Mehdi Rezagholizadeh (CoRR, 2021)

A Short Study on Compressing Decoder-Based Language Models. - Tianda Li; Yassir El Mesbahi; Ivan Kobyzev; Ahmad Rashid; Atif Mahmud; Nithin Anchuri; Habib Hajimolahoseini; Yang Liu; Mehdi Rezagholizadeh (CoRR, 2021)

JABER: Junior Arabic BERt. - Abbas Ghaddar; Yimeng Wu; Ahmad Rashid; Khalil Bibi; Mehdi Rezagholizadeh; Chao Xing; Yasheng Wang; Duan Xinyu; Zhefeng Wang 001; Baoxing Huai; Xin Jiang 002; Qun Liu 001; et al. (CoRR, 2021)

Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition. - Abbas Ghaddar; Philippe Langlais; Ahmad Rashid; Mehdi Rezagholizadeh (Trans. Assoc. Comput. Linguistics, 2021)

Kronecker Decomposition for GPT Compression. - Ali Edalati; Marzieh S. Tahaei; Ahmad Rashid; Vahid Partovi Nia; James J. Clark; Mehdi Rezagholizadeh (ACL (2), 2022)

Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing. - Abbas Ghaddar; Yimeng Wu; Sunyam Bagga; Ahmad Rashid; Khalil Bibi; Mehdi Rezagholizadeh; Chao Xing; Yasheng Wang; Xinyu Duan; Zhefeng Wang 001; Baoxing Huai; Xin Jiang 002; et al. (EMNLP, 2022)

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. - Peng Lu; Ivan Kobyzev; Mehdi Rezagholizadeh; Ahmad Rashid; Ali Ghodsi 001; Philippe Langlais (EMNLP (Findings), 2022)

Learning functions on multiple sets using multi-set transformers. - Kira A. Selby; Ahmad Rashid; Ivan Kobyzev; Mehdi Rezagholizadeh; Pascal Poupart (UAI, 2022)

Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding. - Abbas Ghaddar; Yimeng Wu; Sunyam Bagga; Ahmad Rashid; Khalil Bibi; Mehdi Rezagholizadeh; Chao Xing; Yasheng Wang; Duan Xinyu; Zhefeng Wang 001; Baoxing Huai; Xin Jiang 002; et al. (CoRR, 2022)

Attribute Controlled Dialogue Prompting. - Runcheng Liu; Ahmad Rashid; Ivan Kobyzev; Mehdi Rezagholizadeh; Pascal Poupart (ACL (Findings), 2023)

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. - Peng Lu; Ahmad Rashid; Ivan Kobyzev; Mehdi Rezagholizadeh; Philippe Langlais (ACL (Findings), 2023)

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks. - Ahmad Rashid; Serena Hacker; Guojun Zhang; Agustinus Kristiadi; Pascal Poupart (AISTATS, 2024)

Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification. - Marzieh S. Tahaei; Aref Jafari; Ahmad Rashid; David Alfonso-Hermelo; Khalil Bibi; Yimeng Wu; Ali Ghodsi 001; Boxing Chen; Mehdi Rezagholizadeh (NAACL-HLT (Findings), 2024)

A Critical Look At Tokenwise Reward-Guided Text Generation. - Ahmad Rashid; Ruotian Wu; Julia Grosse; Agustinus Kristiadi; Pascal Poupart (CoRR, 2024)

Uncertainty-Guided Optimization on Large Language Model Search Trees. - Julia Grosse; Ruotian Wu; Ahmad Rashid; Philipp Hennig; Pascal Poupart; Agustinus Kristiadi (CoRR, 2024)

Towards Cost-Effective Reward Guided Text Generation. - Ahmad Rashid; Ruotian Wu; Rongqi Fan; Hongliang Li; Agustinus Kristiadi; Pascal Poupart (CoRR, 2025)