Hamid Palangi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 62

Top Topics

Robust Detection

Epileptic Seizures

Top Venues

Publications

Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
Teaching Language Models to Hallucinate Less with Synthetic Tasks. ICLR (2024)
Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
Improving Black-box Robustness with In-Context Rewriting. CoRR (2024)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR (2024)
Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) (2024)
Shima Imani, Hamid Palangi
Exploring Group and Symmetry Principles in Large Language Models. CoRR (2024)
Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. CoRR (2023)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR (2023)
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS (2023)
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR (2023)
Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. ACL (Findings) (2023)
Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat
A Large-Scale Robustness Analysis of Video Action Recognition Models. CVPR (2023)
Ranjita Naik, Varun Chandrasekaran, Mert Yüksekgönül, Hamid Palangi, Besmira Nushi
Diversity of Thought Improves Reasoning Abilities of Large Language Models. CoRR (2023)
Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Hassan Awadallah
Orca: Progressive Learning from Complex Explanation Traces of GPT-4. CoRR (2023)
Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour
Improving Pre-trained Language Models' Generalization. CoRR (2023)
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. AAAI (2023)
Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah
An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models. CoRR (2023)
Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour
Improving the Reusability of Pre-trained Language Models in Real-world Applications. IRI (2023)
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
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR (2023)
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 Hassan Awadallah
Orca 2: Teaching Small Language Models How to Reason. CoRR (2023)
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. CoRR (2023)
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. ICML (2023)
Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR (2023)
Tom Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. NeurIPS (2023)
Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
Teaching Language Models to Hallucinate Less with Synthetic Tasks. CoRR (2023)
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
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. CoRR (2023)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. ACL (1) (2022)
Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
Multi-modal Robustness Analysis Against Language and Visual Perturbations. CoRR (2022)
Saadia Gabriel, Hamid Palangi, Yejin Choi
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? CoRR (2022)
Saadia Gabriel, Hamid Palangi, Yejin Choi
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP (Findings) (2022)
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. CoRR (2022)
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR (2022)
Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh Rawat
Large-scale Robustness Analysis of Video Action Recognition Models. CoRR (2022)
Abdelrahman Zayed, Prasanna Parthasarathi, Gonçalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. CoRR (2022)
Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. NeurIPS (2022)
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
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR (2022)
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. CoRR (2022)
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. NAACL-HLT (2021)
Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao
Compositional processing emerges in neural networks solving math problems. CogSci (2021)
Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao
NICE: Neural Image Commenting with Empathy. EMNLP (Findings) (2021)
Jacob Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao
Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR (2021)
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. CoRR (2021)
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
Unified Vision-Language Pre-Training for Image Captioning and VQA. AAAI (2020)
Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". ICML (2020)
Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR (2020)
Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov, Yichen Huang, Kazuhito Koishida
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". CoRR (2020)
Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR (2020)
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
Mapping natural-language problems to formal-language solutions using structured neural representations. ICML (2020)
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
Unified Vision-Language Pre-Training for Image Captioning and VQA. CoRR (2019)
Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. CoRR (2019)
Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao
Natural- to formal-language generation using Tensor Product Representations. CoRR (2019)
Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao
HUBERT Untangles BERT to Improve Transfer across NLP Tasks. CoRR (2019)
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
Question-Answering with Grammatically-Interpretable Representations. AAAI (2018)
Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward
Robust Detection of Epileptic Seizures Using Deep Neural Networks. ICASSP (2018)
Yongwei Wang, Hamid Palangi, Z. Jane Wang, Haoqian Wang
RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval. Signal Process. Image Commun. 68 (2018)
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng
Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. CoRR (2017)
Hamid Palangi, Rabab Kreidieh Ward, Li Deng
Convolutional Deep Stacking Networks for distributed compressive sensing. Signal Process. 131 (2017)
Hamid Palangi, Rabab Kreidieh Ward, Li Deng
Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. ICASSP (2016)
Hamid Palangi, Rabab K. Ward, Li Deng
Distributed Compressive Sensing: A Deep Learning Approach. IEEE Trans. Signal Process. 64 (17) (2016)
Hamid Palangi, Rabab Kreidieh Ward, Li Deng
Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory. GlobalSIP (2016)
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24 (4) (2016)
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR (2015)
Hamid Palangi, Rabab K. Ward, Li Deng
Distributed Compressive Sensing: A Deep Learning Approach. CoRR (2015)
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR (2014)
Hamid Palangi, Li Deng, Rabab K. Ward
Recurrent Deep-Stacking Networks for sequence classification. ChinaSIP (2014)
Hamid Palangi, Li Deng, Rabab K. Ward
Learning Input and Recurrent Weight Matrices in Echo State Networks. CoRR (2013)
Hamid Palangi, Rabab K. Ward, Li Deng
Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors. ICASSP (2013)
Mohammad Shams Esfand Abadi, Hamid Palangi
Mean-square performance analysis of the family of selective partial update and selective regressor affine projection algorithms. Signal Process. 90 (1) (2010)
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten
Image Coding and Compression with Sparse 3D Discrete Cosine Transform. ICA (2009)