Publications

2023 Orca 2: Teaching Small Language Models How to Reason
Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andres Codas, Clarisse Simoes, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah Paper 13B ckpt 7B ckpt
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 Paper
2023 Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi Paper
2023 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
Thomas Hartvigsen, Swami Sankaranarayanan, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi NeurIPS 2023 Paper Code
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 Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang Paper
2023 Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson NeurIPS 2023 Paper
2023 Orca: Progressive Learning from Complex Explanation Traces of GPT-4
Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, Sahaj Agarwal, Hamid Palangi, Ahmed Awadallah Paper
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 Wallach, Sarah Bird, Mei Chen Paper
2023 Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models
Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour ACL 2023 Paper
2023 Diversity of Thought Improves Reasoning Abilities of Large Language Models
Ranjita Naik, Varun Chandrasekaran, Mert Yuksekgonul, Hamid Palangi, Besmira Nushi Paper
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 AAAI 2023 Paper
2023 Improving the Reusability of Pre-trained Language Models in Real-world Applications
Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour IEEE IRI 2023 Paper
2023 Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman ICML 2023 Paper
2023 An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models
Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah ACL 2023 Paper Code & Dataset
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 CVPR 2023 Paper
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 Paper Code Dataset
2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh Rawat, Vibhav Vineet NeurIPS 2022 Paper
2022 NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel, Hamid Palangi, Yejin Choi EMNLP 2022 Paper Code
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 4th Workshop on Technologies for MT of Low Resource Languages Paper
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 ACL 2022 Paper Code Dataset
2021 NICE: Neural Image Commenting with Empathy
Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth Forbus, Jianfeng Gao EMNLP 2021 Paper Dataset
2021 Compositional Processing Emerges in Neural Networks Solving Math Problems
Jacob Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao CogSci 2021 Paper
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 NAACL 2021 Paper Code
2020 Neuro-Symbolic Visual Reasoning: Disentangling “Visual” from “Reasoning”
Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida ICML 2020 Paper Code
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 ICML 2020 Paper Code
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 Paper Code
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 Paper
2020 Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao AAAI 2020 Paper Code
2020 HUBERT Untangles BERT to Improve Transfer across NLP Tasks
Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao Paper
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 Paper
2019 Optimized Deep Neural Network Architecture for Robust Detection of Epileptic Seizures using EEG Signals
Ramy Hussein, Hamid Palangi, Rabab K Ward, Z Jane Wang Clinical Neurophysiology Paper
2018 RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval
Yongwei Wang, Hamid Palangi, Z Jane Wang, Haoqian Wang Signal Processing: Image Communication Paper
2018 Robust detection of epileptic seizures using deep neural networks
Ramy Hussein, Hamid Palangi, Z Jane Wang, Rabab Ward ICASSP 2018 Paper
2017 Question-Answering with Grammatically-Interpretable Representations
Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng AAAI 2017 Paper Code
2017 Convolutional deep stacking networks for distributed compressive sensing
Hamid Palangi, Rabab Ward, Li Deng Signal Processing Paper
2017 Deep Learning for Sequence Modelling: Applications in Natural Languages and Distributed Compressive Sensing
Hamid Palangi University of British Columbia Thesis
2016 Reconstruction of Sparse Vectors in Compressive Sensing with Multiple Measurement Vectors using Bidirectional Long Short-Term Memory
Hamid Palangi, Rabab Ward, Li Deng GlobalSIP 2016 Paper
2016 Exploiting Correlations among Channels in Distributed Compressive Sensing with Convolutional Deep Stacking Networks
Hamid Palangi, Rabab Ward, Li Deng ICASSP 2016 Paper
2016 Distributed Compressive Sensing: A Deep Learning Approach
Hamid Palangi, Rabab Ward, Li Deng IEEE Transactions on Signal Processing Paper Code
2015 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 Ward IEEE/ACM Transactions on Audio, Speech, and Language Processing Paper
2014 Recurrent Deep-Stacking Networks for Sequence Classification
Hamid Palangi, Li Deng, Rabab K Ward ChinaSIP 2014 Paper
2013 Learning Input and Recurrent Weight Matrices in Echo State Networks
Hamid Palangi, Li Deng, Rabab K Ward NIPS Deep Learning Workshop 2013 Paper
2013 Using Deep Stacking Network to Improve Structured Compressed Sensing with Multiple Measurement Vectors
Hamid Palangi, Li Deng, Rabab K Ward ICASSP 2013 Paper
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 Processing Paper
2009 ECG Denoising and Compression by Sparse 2D Separable Transform with Overcomplete Mixed Dictionaries
A Ghaffari, Hamid Palangi, Massoud Babaie-Zadeh, Christian Jutten MLSP 2009 Paper
2009 Fast and Robust Multiframe Superresolution Using Inhibition Principle
Hamid Palangi, Shohreh Kasaei ICDT 2009 Paper
2009 Image Coding and Compression with Sparse 3D Discrete Cosine Transform
Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten ICA 2009 Paper