Structure Aware Negative Sampling in Knowledge Graphs. - Kian Ahrabian; Aarash Feizi; Yasmin Salehi; William L. Hamilton; Avishek Joey Bose (EMNLP (1), 2020)

Revisiting Hotels-50K and Hotel-ID. - Aarash Feizi; Arantxa Casanova; Adriana Romero-Soriano; Reihaneh Rabbany (CoRR, 2022)

Party Prediction for Twitter. - Kellin Pelrine; Anne Imouza; Zachary Yang; Jacob-Junqi Tian; Sacha Lévy; Gabrielle Desrosiers-Brisebois; Aarash Feizi; Cécile Amadoro; André Blais; Jean-François Godbout; Reihaneh Rabbany (ICWSM, 2024)

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning. - Aarash Feizi; Randall Balestriero; Adriana Romero-Soriano; Reihaneh Rabbany (CoRR, 2024)

FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. - Rohan Sukumaran; Aarash Feizi; Adriana Romero-Soriano; Golnoosh Farnadi (CoRR, 2024)

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (CoRR, 2024)

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. - Juan A. Rodríguez; Xiangru Jian; Siba Smarak Panigrahi; Tianyu Zhang; Aarash Feizi; Abhay Puri; Akshay Kalkunte Suresh; François Savard; Ahmed Masry; Shravan Nayak; Rabiul Awal; Mahsa Massoud; et al. (ICLR, 2025)

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. - Ahmed Masry; Juan A. Rodríguez; Tianyu Zhang; Suyuchen Wang; Chao Wang; Aarash Feizi; Akshay Kalkunte Suresh; Abhay Puri; Xiangru Jian; Pierre-André Noël; Sathwik Tejaswi Madhusudhan; Marco Pedersoli; et al. (CoRR, 2025)

PairBench: A Systematic Framework for Selecting Reliable Judge VLMs. - Aarash Feizi; Sai Rajeswar; Adriana Romero-Soriano; Reihaneh Rabbany; Spandana Gella; Valentina Zantedeschi; João Monteiro 002 (CoRR, 2025)

Rendering-Aware Reinforcement Learning for Vector Graphics Generation. - Juan A. Rodríguez; Haotian Zhang; Abhay Puri; Aarash Feizi; Rishav Pramanik; Pascal Wichmann; Arnab Kumar Mondal; Mohammad Reza Samsami; Rabiul Awal; Perouz Taslakian; Spandana Gella; Sai Rajeswar; et al. (CoRR, 2025)