Hamid Palangi

According to our database, Hamid Palangi authored at least 54 papers between 2009 and 2024.

Collaborative distances:

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

2024

Improving Black-box Robustness with In-Context Rewriting.

Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen

CoRR, 2024

Exploring Group and Symmetry Principles in Large Language Models.

Shima Imani, Hamid Palangi

CoRR, 2024

2023

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia.

Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West

CoRR, 2023

Orca 2: Teaching Small Language Models How to Reason.

Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andrés Codas, Clarisse Simões, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah

CoRR, 2023

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications.

Ahmed Magooda, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla, Emily Sheng, Dan Vann, Richard Edgar, Hamid Palangi, Roman Lutz, Hongliang Kong, Vincent Yun, Eslam Kamal, Federico Zarfati, Hanna M. Wallach, Sarah Bird, Mei Chen

CoRR, 2023

Diversity of Thought Improves Reasoning Abilities of Large Language Models.

Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi

CoRR, 2023

Teaching Language Models to Hallucinate Less with Synthetic Tasks.

Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Awadallah, Ece Kamar

CoRR, 2023

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.

Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi

CoRR, 2023

Improving Pre-trained Language Models' Generalization.

Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour

CoRR, 2023

Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah

CoRR, 2023

Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang

CoRR, 2023

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models.

Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah

CoRR, 2023

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval.

Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson

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

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.

Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

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

Improving the Reusability of Pre-trained Language Models in Real-world Applications.

Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning.

Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023

A Large-Scale Robustness Analysis of Video Action Recognition Models.

Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat

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

Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models.

Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour

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

Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness.

Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Benchmarking Spatial Relationships in Text-to-Image Generation.

Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang

CoRR, 2022

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors.

Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi

CoRR, 2022

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages.

Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky

CoRR, 2022

Multi-modal Robustness Analysis Against Language and Visual Perturbations.

Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet

CoRR, 2022

Large-scale Robustness Analysis of Video Action Recognition Models.

Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat

CoRR, 2022

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations.

Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?

Saadia Gabriel, Hamid Palangi, Yejin Choi

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

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection.

Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Compositional Processing Emerges in Neural Networks Solving Math Problems.

Jacob Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao

CoRR, 2021

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.

Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

NICE: Neural Image Commenting with Empathy.

Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao

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

2020

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language.

Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang

CoRR, 2020

Novel Human-Object Interaction Detection via Adversarial Domain Generalization.

Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang

CoRR, 2020

Mapping natural-language problems to formal-language solutions using structured neural representations.

Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao

Proceedings of the 37th International Conference on Machine Learning, 2020

Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning".

Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida

Proceedings of the 37th International Conference on Machine Learning, 2020

Unified Vision-Language Pre-Training for Image Captioning and VQA.

Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

HUBERT Untangles BERT to Improve Transfer across NLP Tasks.

Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao

CoRR, 2019

Natural- to formal-language generation using Tensor Product Representations.

Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao

CoRR, 2019

Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators.

Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao

CoRR, 2019

2018

RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval.

Yongwei Wang, Hamid Palangi, Z. Jane Wang, Haoqian Wang

Signal Process. Image Commun., 2018

Robust Detection of Epileptic Seizures Using Deep Neural Networks.

Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Question-Answering with Grammatically-Interpretable Representations.

Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Convolutional Deep Stacking Networks for distributed compressive sensing.

Hamid Palangi, Rabab Kreidieh Ward, Li Deng

Signal Process., 2017

Deep Learning of Grammatically-Interpretable Representations Through Question-Answering.

Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng

CoRR, 2017

2016

Distributed Compressive Sensing: A Deep Learning Approach.

Hamid Palangi, Rabab K. Ward, Li Deng

IEEE Trans. Signal Process., 2016

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.

Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks.

Hamid Palangi, Rabab Kreidieh Ward, Li Deng

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory.

Hamid Palangi, Rabab Kreidieh Ward, Li Deng

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval.

Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward

CoRR, 2015

2014

Semantic Modelling with Long-Short-Term Memory for Information Retrieval.

Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward

CoRR, 2014

Recurrent Deep-Stacking Networks for sequence classification.

Hamid Palangi, Li Deng, Rabab K. Ward

Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013

Learning Input and Recurrent Weight Matrices in Echo State Networks.

Hamid Palangi, Li Deng, Rabab K. Ward

CoRR, 2013

Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors.

Hamid Palangi, Rabab K. Ward, Li Deng

Proceedings of the IEEE International Conference on Acoustics, 2013

2010

Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms.

Mohammad Shams Esfand Abadi, Hamid Palangi

Signal Process., 2010

2009

Image Coding and Compression with Sparse 3D Discrete Cosine Transform.

Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten

Proceedings of the Independent Component Analysis and Signal Separation, 2009