Publications

Journal

• Ghaddar, A., Langlais, P., Rashid, A., & Rezagholizadeh, M. (2021). Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition. TACL

Conference

• Rashid, A., Wu, R., Grosse, J., Kristiadi, A. and Poupart, P. (2025) A Critical Look at Tokenwise Reward-Guided Text Generation. COLM
• Rashid, A., Wu, R., Fan, R., Li, H., Kristiadi, A. and Poupart, P. (2025) Towards Cost-Effective Reward Guided Text Generation. ICML.
• Rashid, A., Hacker, S., Zhang G., Kristiadi, A. and Poupart, P. (2024) Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks. AISTATS
• Tahaei, M., Jafari A., Rashid, A., …, and Rezagholizadeh, M., (2024) Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification. Accepted at NAACL (in Findings)
• Li, P. , Rashid, A., Kobyzev, I., Rezagholizadeh, M. and Langlais, P. (2023) LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. Accepted at ACL (In Findings)
• Liu R., Rashid, A., Kobyzev, I., Rezagholizadeh, M. and Poupart, P. (2023) Attribute Controlled Dialogue Prompting. Accepted at ACL (In Findings)
• Lu, P., Kobyzev, I., Rezagholizadeh, M., Rashid, A., Ghodsi, A. and Langlais, P. (2022 )Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. Accepted at EMNLP (in Findings)
• Ghaddar, A., Wu, Yimeng., Bagga, S., Rashid, A., …, and Langlais, P. (2022) Revisiting pre-trained language models and their evaluation for arabic natural language understanding. Accepted at EMNLP
• Edalati, A., Tahaei, M., Rashid, A., Nia, V., Clark, J., Rezagholizadeh, M., (2022) Kronecker Decomposition for GPT Compression. Accepted at EMNLP
• Selby, K., Rashid, A., Kobyzev, I., Rezagholizadeh, M. and Poupart, P. (2022). Learning Functions on Multiple Sets using Multi-Set Transformers. Accepted at UAI
• Alfonso-Hermelo, D., Rashid, A., Ghaddar, A., Langlais, P. and Rezagholizadeh, M. (2021) NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation. Accepted at NeurIPS (Datasets and Benchmarks Track)
• Rashid, A., Lioutas, V., Rezagholizadeh, M. & Ghaddar, A (2021). Towards Zero-Shot Knowledge Distillation for Natural Language Processing. Accepted at EMNLP.
• Lu, P., Ghaddar, A., Rashid, A., Rezagholizadeh, M., Ghodsi, A. and Langlais, P. RW-KD: Sample-wise loss terms Re-Weighting for Knowledge Distillation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Findings
• Rashid, A., Lioutas, V., & Rezagholizadeh, M. (2021). MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. Accepted at ACL
• Lioutas, V., Rashid, A., Kumar, K., Haidar, M. A., & Rezagholizadeh, M. (2020). Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. Accepted at EMNLP (In Findings)
• Rashid, A., Do-Omri, A., Haidar, M. A., Liu, Q., & Rezagholizadeh, M. (2020). From Unsupervised Machine Translation to Adversarial Text Generation. Accepted at ICASSP
• Haidar, M. A., Rezagholizadeh, M., Do Omri, A., & Rashid, A. (2019). Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation. Accepted at NAACL

Workshop

• Rashid, A., Do-Omri, A., Haidar, M. A., Liu, Q., & Rezagholizadeh, M. (2019). Bilingual-GAN: A Step Towards Parallel Text Generation. Accepted at NAACL NeuralGen (Best Paper Award)

Preprint

• Grosse, J., Wu, R., Rashid, A., Zhang, C., Hennig, P., Poupart, P. and Kristiadi, A. (2024) Uncertainty-Guided Likelihood-Tree Search. arxiv.