Hamed Firooz

51 papers A* 9B 1Journal 30Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative Reasoning Re-ranker.
CoRR
Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, Zhijing Li, Jiang Liu, Mengying Sun, Fei Tian, Xiaohan Wei, Chonglin Sun, Jacob Tao, Shike Mei, Wenlin Chen, Santanu Kolay, Sandeep Pandey, Hamed Firooz, Luke Simon
2026 A* conf
Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models.
AAAI
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
2025 J jnl
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation.
CoRR
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
2025 J jnl
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations.
CoRR
Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
2025 — conf
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations.
ACL (1)
Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
2025 J jnl
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.
CoRR
Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, 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 S. Pillai, Luke Simon
2025 J jnl
Large Scale Retrieval for the LinkedIn Feed using Causal Language Models.
CoRR
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, Crescent Xiong, Zhoutao Pei, Angela Shao, Alex Li, Annie Xiao, Caitlin Kolb, Thomas Kistler, Zach Moore, Hamed Firooz
2025 J jnl
Scaling Reinforcement Learning for Content Moderation with Large Language Models.
CoRR
Hamed Firooz, Rui Liu, Yuchen Lu, Zhenyu Hou, Fangzhou Xiong, Xiaoyang Zhang, Changshu Jian, Zhicheng Zhu, Jiayuan Ma, Jacob Tao, Chaitali Gupta, Xiaochang Peng, Shike Mei, Hang Cui, Yang Qin, Shuo Tang, Jason Gaedtke, Arpit Mittal
2025 J jnl
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples.
CoRR
Vignesh Kothapalli, Ata Fatahi Baarzi, Hamed Firooz, Maziar Sanjabi
2024 J jnl
Enhancing Stability for Large Models Training in Constrained Bandwidth Networks.
CoRR
Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz
2024 J jnl
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks.
CoRR
Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai
2024 A* conf
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.
AAAI
Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2024 — conf
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
NAACL-HLT
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2024 J jnl
Understanding the Detrimental Class-level Effects of Data Augmentation.
CoRR
Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2023 A* conf
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
EMNLP
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
2023 A* conf
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.
CVPR
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023 J jnl
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.
CoRR
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023 A* conf
Identifying Interpretable Subspaces in Image Representations.
ICML
Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023 J jnl
Identifying Interpretable Subspaces in Image Representations.
CoRR
Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023 — conf
MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
ACL (1)
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023 — conf
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.
ACL (Findings)
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
2023 J jnl
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.
CoRR
Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz
2023 J jnl
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
CoRR
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2023 A* conf
Understanding the detrimental class-level effects of data augmentation.
NeurIPS
Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2022 B conf
A Survey on Multimodal Disinformation Detection.
COLING
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov
2022 J jnl
BARACK: Partially Supervised Group Robustness With Guarantees.
CoRR
Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
2022 J jnl
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
CoRR
Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
2022 A* conf
Detecting and Understanding Harmful Memes: A Survey.
IJCAI
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty
2022 J jnl
Detecting and Understanding Harmful Memes: A Survey.
CoRR
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty
2022 — conf
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.
ACL (Findings)
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
2022 J jnl
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.
CoRR
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
2022 J jnl
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.
CoRR
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
2022 — conf
ER-Test: Evaluating Explanation Regularization Methods for Language Models.
EMNLP (Findings)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
2022 J jnl
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.
CoRR
Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren
2022 A* conf
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction.
ICML
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
2022 J jnl
Understanding Failure Modes of Self-Supervised Learning.
CoRR
Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2021 J jnl
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.
CoRR
Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021 J jnl
A Survey on Multimodal Disinformation Detection.
CoRR
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov
2021 — conf
Detecting Propaganda Techniques in Memes.
ACL/IJCNLP (1)
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
2021 J jnl
Detecting Propaganda Techniques in Memes.
CoRR
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
2021 — conf
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.
EMNLP (Findings)
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
2021 J jnl
Modality-specific Distillation.
CoRR
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
2021 — conf
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images.
SemEval@ACL/IJCNLP
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
2021 J jnl
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images.
CoRR
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino
2021 J jnl
UniREx: A Unified Learning Framework for Language Model Rationale Extraction.
CoRR
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
2020 J jnl
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption.
CoRR
Ivan Evtimov, Russ Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton-Ferrer
2020 — conf
The Hateful Memes Challenge: Competition Report.
NeurIPS (Competition and Demos)
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
2020 A* conf
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes.
NeurIPS
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine
2020 J jnl
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes.
CoRR
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine
2019 — conf
Supervised Multimodal Bitransformers for Classifying Images and Text.
ViGIL@NeurIPS
Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine
2019 J jnl
Supervised Multimodal Bitransformers for Classifying Images and Text.
CoRR
Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine