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ORCIDHamed Firooz
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2020 – today
- 2025
[i26]Hamed Firooz, Maziar Sanjabi, Adrian Englhardt, Aman Gupta, Ben Levine, Dre Olgiati, Gungor Polatkan, Iuliia Melnychuk, Karthik Ramgopal, Kirill Talanine, Kutta Srinivasan, Luke Simon, Natesh Sivasubramoniapillai, Necip Fazil Ayan, Qingquan Song, Samira Sriram, Souvik Ghosh, Tao Song, Vignesh Kothapalli, Xiaoling Zhai, Ya Xu, Yu Wang, Yun Dai:
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation. CoRR abs/2501.16450 (2025)- [i25]Kayhan Behdin, Yun Dai, Ata Fatahibaarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh Pillai, Luke Simon:
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. CoRR abs/2502.14305 (2025) - 2024
- [c18]Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi:
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. AAAI 2024: 13031-13039 - [c17]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT 2024: 5784-5809 - [i24]Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR abs/2401.01764 (2024) - [i23]Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz:
Enhancing Stability for Large Models Training in Constrained Bandwidth Networks. CoRR abs/2407.01614 (2024) - [i22]Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai:
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks. CoRR abs/2410.01985 (2024) - 2023
- [c16]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c15]Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. ACL (Findings) 2023: 6049-6064 - [c14]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR 2023: 12239-12249 - [c13]Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu
, Hamed Firooz, Hongning Wang, Shaoliang Nie:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP 2023: 13258-13275 - [c12]Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi:
Identifying Interpretable Subspaces in Image Representations. ICML 2023: 15623-15638 - [c11]Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson:
Understanding the detrimental class-level effects of data augmentation. NeurIPS 2023 - [i21]Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan:
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR abs/2304.01482 (2023) - [i20]Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. CoRR abs/2307.00119 (2023) - [i19]Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi:
Identifying Interpretable Subspaces in Image Representations. CoRR abs/2307.10504 (2023) - [i18]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR abs/2310.04743 (2023) - 2022
- [c10]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) 2022: 1972-1983 - [c9]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. COLING 2022: 6625-6643 - [c8]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) 2022: 3315-3336 - [c7]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML 2022: 2867-2889 - [c6]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606 - [i17]Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR abs/2201.00072 (2022) - [i16]Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi:
Understanding Failure Modes of Self-Supervised Learning. CoRR abs/2203.01881 (2022) - [i15]Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz:
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR abs/2204.05990 (2022) - [i14]Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022) - [i13]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR abs/2205.12542 (2022) - [i12]Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren:
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR abs/2207.00779 (2022) - [i11]Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang:
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR abs/2210.15500 (2022) - 2021
- [c5]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. ACL/IJCNLP (1) 2021: 6603-6617 - [c4]Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. EMNLP (Findings) 2021: 3557-3569 - [c3]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. SemEval@ACL/IJCNLP 2021: 70-98 - [i10]Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
Modality-specific Distillation. CoRR abs/2101.01881 (2021) - [i9]Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021) - [i8]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. CoRR abs/2105.09284 (2021) - [i7]Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. CoRR abs/2109.08013 (2021) - [i6]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR abs/2112.08802 (2021) - [i5]Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz:
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR abs/2112.13884 (2021) - 2020
- [c2]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Casey A. Fitzpatrick, Peter Bull, Greg Lipstein, Tony Nelli, Ron Zhu, Niklas Muennighoff, Riza Velioglu, Jewgeni Rose, Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis, Vlad Sandulescu, Umut Ozertem, Patrick Pantel, Lucia Specia, Devi Parikh:
The Hateful Memes Challenge: Competition Report. NeurIPS (Competition and Demos) 2020: 344-360 - [c1]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes. NeurIPS 2020 - [i4]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes. CoRR abs/2005.04790 (2020) - [i3]Ivan Evtimov, Russ Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton-Ferrer:
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption. CoRR abs/2011.12902 (2020)
2010 – 2019
- 2019
- [i2]Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine:
Supervised Multimodal Bitransformers for Classifying Images and Text. ViGIL@NeurIPS 2019 - [i1]Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine:
Supervised Multimodal Bitransformers for Classifying Images and Text. CoRR abs/1909.02950 (2019)
Coauthor Index
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