Hamed Firooz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models. | Sudarshan Srinivasa Ramanujam, Antonio Alonso, Saurabh Kataria, Siddharth Dangi, Akhilesh Gupta, Birjodh Singh Tiwana, Manas Haribhai Somaiya, Luke Simon, David Byrne, Sojeong Ha, Sen Zhou, Andrei Akterskii, Zhanglong Liu, Samira Sriram, Zihan Xiong, Zhoutao Pei, Angela Shao, Alex Li, Annie Xiao, Caitlin Kolb, Thomas Kistler, Zach Moore, Hamed Firooz |
| 2026 | ACL | To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples. | Vignesh Kothapalli, Ata Fatahi Baarzi, Hamed Firooz, Maziar Sanjabi |
| 2025 | ACL | CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations. | Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi |
| 2024 | AAAI | Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. | Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi |
| 2024 | NAACL | RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. | Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz |
| 2023 | ACL | Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. | Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz |
| 2023 | ACL | MUSTIE: Multimodal Structural Transformer for Web Information Extraction. | Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu |
| 2023 | CVPR | Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. | Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan |
| 2023 | EMNLP | COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. | Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie |
| 2023 | ICML | Identifying Interpretable Subspaces in Image Representations. | Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi |
| 2022 | ACL | Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. | Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz |
| 2022 | COLING | A Survey on Multimodal Disinformation Detection. | Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov |
| 2022 | EMNLP | ER-Test: Evaluating Explanation Regularization Methods for Language Models. | Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren |
| 2022 | ICML | UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. | Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz |
| 2022 | IJCAI | Detecting and Understanding Harmful Memes: A Survey. | Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | ACL | Detecting Propaganda Techniques in Memes. | Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino |
| 2021 | EMNLP | MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. | Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz |