Hamed Firooz

According to our database, Hamed Firooz authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks.

Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai

CoRR, 2024

Enhancing Stability for Large Models Training in Constrained Bandwidth Networks.

Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz

CoRR, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.

Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding the detrimental class-level effects of data augmentation.

Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Shanmukha Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Identifying Interpretable Subspaces in Image Representations.

Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.

Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.

Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren

CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.

Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

CoRR, 2022

Understanding Failure Modes of Self-Supervised Learning.

Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

CoRR, 2022

BARACK: Partially Supervised Group Robustness With Guarantees.

Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré

CoRR, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.

Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.

Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.

Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz

CoRR, 2021

Modality-specific Distillation.

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

CoRR, 2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images.

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Detecting Propaganda Techniques in Memes.

Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption.

Ivan Evtimov, Russ Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton-Ferrer

CoRR, 2020

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes.

Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Hateful Memes Challenge: Competition Report.

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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Supervised Multimodal Bitransformers for Classifying Images and Text.

Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019