Image Coding and Compression with Sparse 3D Discrete Cosine Transform. - Hamid Palangi; Aboozar Ghafari; Massoud Babaie-Zadeh; Christian Jutten (ICA, 2009)

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)

Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors. - Hamid Palangi; Rabab K. Ward; Li Deng 001 (ICASSP, 2013)

Learning Input and Recurrent Weight Matrices in Echo State Networks. - Hamid Palangi; Li Deng 001; Rabab K. Ward (CoRR, 2013)

Recurrent Deep-Stacking Networks for sequence classification. - Hamid Palangi; Li Deng 001; Rabab K. Ward (ChinaSIP, 2014)

Semantic Modelling with Long-Short-Term Memory for Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (CoRR, 2014)

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (CoRR, 2015)

Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory. - Hamid Palangi; Rabab Kreidieh Ward; Li Deng 001 (GlobalSIP, 2016)

Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. - Hamid Palangi; Rabab Kreidieh Ward; Li Deng 001 (ICASSP, 2016)

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Distributed Compressive Sensing: A Deep Learning Approach. - Hamid Palangi; Rabab K. Ward; Li Deng 001 (IEEE Trans. Signal Process., 2016)

Deep Learning of Grammatically-Interpretable Representations Through Question-Answering. - Hamid Palangi; Paul Smolensky; Xiaodong He 001; Li Deng 001 (CoRR, 2017)

Convolutional Deep Stacking Networks for distributed compressive sensing. - Hamid Palangi; Rabab Kreidieh Ward; Li Deng 001 (Signal Process., 2017)

Question-Answering with Grammatically-Interpretable Representations. - Hamid Palangi; Paul Smolensky; Xiaodong He 001; Li Deng 001 (AAAI, 2018)

Robust Detection of Epileptic Seizures Using Deep Neural Networks. - Ramy Hussein; Hamid Palangi; Z. Jane Wang 001; Rabab K. Ward (ICASSP, 2018)

RevHashNet: Perceptually de-hashing real-valued image hashes for similarity retrieval. - Yongwei Wang; Hamid Palangi; Z. Jane Wang 001; Haoqian Wang (Signal Process. Image Commun., 2018)

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 001 (CoRR, 2019)

Natural- to formal-language generation using Tensor Product Representations. - Kezhen Chen; Qiuyuan Huang; Hamid Palangi; Paul Smolensky; Kenneth D. Forbus; Jianfeng Gao 001 (CoRR, 2019)

HUBERT Untangles BERT to Improve Transfer across NLP Tasks. - Mehrad Moradshahi; Hamid Palangi; Monica S. Lam; Paul Smolensky; Jianfeng Gao 001 (CoRR, 2019)

Unified Vision-Language Pre-Training for Image Captioning and VQA. - Luowei Zhou; Hamid Palangi; Lei Zhang 001; Houdong Hu; Jason J. Corso; Jianfeng Gao 001 (AAAI, 2020)

Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". - Saeed Amizadeh; Hamid Palangi; Alex Polozov; Yichen Huang; Kazuhito Koishida (ICML, 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 001 (ICML, 2020)

Novel Human-Object Interaction Detection via Adversarial Domain Generalization. - Yuhang Song 003; Wenbo Li 001; Lei Zhang 001; Jianwei Yang; Emre Kiciman; Hamid Palangi; Jianfeng Gao 001; C.-C. Jay Kuo; Pengchuan Zhang (CoRR, 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 001; Shih-Fu Chang (CoRR, 2020)

Compositional processing emerges in neural networks solving math problems. - Jacob L. Russin; Roland Fernandez; Hamid Palangi; Eric Rosen; Nebojsa Jojic; Paul Smolensky; Jianfeng Gao 001 (CogSci, 2021)

NICE: Neural Image Commenting with Empathy. - Kezhen Chen; Qiuyuan Huang; Daniel McDuff; Xiang Gao 011; Hamid Palangi; Jianfeng Wang; Kenneth D. Forbus; Jianfeng Gao 001 (EMNLP (Findings), 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 001 (NAACL-HLT, 2021)

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 (1), 2022)

NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? - Saadia Gabriel; Hamid Palangi; Yejin Choi 001 (EMNLP (Findings), 2022)

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. - Madeline Schiappa; Shruti Vyas; Hamid Palangi; Yogesh S. Rawat; Vibhav Vineet (NeurIPS, 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)

Multi-modal Robustness Analysis Against Language and Visual Perturbations. - Madeline C. Schiappa; Shruti Vyas; Hamid Palangi; Yogesh S. Rawat; Vibhav Vineet (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 001; Paul Smolensky (CoRR, 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)

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)

Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. - Somayeh Ghanbarzadeh; Yan Huang 002; Hamid Palangi; Radames Cruz Moreno; Hamed Khanpour (ACL (Findings), 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)

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. - Yu Yang 007; Besmira Nushi; Hamid Palangi; Baharan Mirzasoleiman (ICML, 2023)

Improving the Reusability of Pre-trained Language Models in Real-world Applications. - Somayeh Ghanbarzadeh; Hamid Palangi; Yan Huang 002; Radames Cruz Moreno; Hamed Khanpour (IRI, 2023)

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors. - Tom Hartvigsen; Swami Sankaranarayanan; Hamid Palangi; Yoon Kim; Marzyeh Ghassemi (NeurIPS, 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 (NeurIPS, 2023)

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models. - Saghar Hosseini; Hamid Palangi; Ahmed Hassan 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; et al. (CoRR, 2023)

Orca: Progressive Learning from Complex Explanation Traces of GPT-4. - Subhabrata Mukherjee; Arindam Mitra; Ganesh Jawahar; Sahaj Agarwal; Hamid Palangi; Ahmed Awadallah 001 (CoRR, 2023)

Improving Pre-trained Language Models' Generalization. - Somayeh Ghanbarzadeh; Hamid Palangi; Yan Huang 002; Radames Cruz Moreno; Hamed Khanpour (CoRR, 2023)

Diversity of Thought Improves Reasoning Abilities of Large Language Models. - Ranjita Naik; Varun Chandrasekaran; Mert Yüksekgönül; Hamid Palangi; Besmira Nushi (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; et al. (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; et al. (CoRR, 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 001 (ACL (1), 2024)

Teaching Language Models to Hallucinate Less with Synthetic Tasks. - Erik Jones; Hamid Palangi; Clarisse Simões; Varun Chandrasekaran; Subhabrata Mukherjee; Arindam Mitra; Ahmed Hassan Awadallah; Ece Kamar (ICLR, 2024)

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 (ICLR, 2024)

Exploring Group and Symmetry Principles in Large Language Models. - Shima Imani; Hamid Palangi (CoRR, 2024)

Improving Black-box Robustness with In-Context Rewriting. - Kyle O'Brien; Nathan Ng 001; Isha Puri; Jorge Mendez; Hamid Palangi; Yoon Kim; Marzyeh Ghassemi; Thomas Hartvigsen (CoRR, 2024)

Eureka: Evaluating and Understanding Large Foundation Models. - Vidhisha Balachandran; Jingya Chen; Neel Joshi; Besmira Nushi; Hamid Palangi; Eduardo Salinas; Vibhav Vineet; James Woffinden-Luey; Safoora Yousefi (CoRR, 2024)

MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark. - Elliot L. Epstein; Kaisheng Yao; Jing Li; Xinyi Bai; Hamid Palangi (CoRR, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

Improving Black-box Robustness with In-Context Rewriting. - Kyle O'Brien; Nathan Hoyen Ng; Isha Puri; Jorge Mendez-Mendez; Hamid Palangi; Yoon Kim; Marzyeh Ghassemi; Thomas Hartvigsen (Trans. Mach. Learn. Res., 2024)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. - Zhen Tan 001; Jun Yan; I-Hung Hsu; Rujun Han; Zifeng Wang 002; Long T. Le; Yiwen Song; Yanfei Chen; Hamid Palangi; George Lee; Anand Rajan Iyer; Tianlong Chen 001; et al. (ACL (1), 2025)

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. - Fan Yin; Zifeng Wang 002; I-Hung Hsu; Jun Yan; Ke Jiang; Yanfei Chen; Jindong Gu; Long T. Le; Kai-Wei Chang; Chen-Yu Lee; Hamid Palangi; Tomas Pfister (ACL (1), 2025)

Reverse Thinking Makes LLMs Stronger Reasoners. - Justin Chih-Yao Chen; Zifeng Wang 002; Hamid Palangi; Rujun Han; Sayna Ebrahimi; Long T. Le; Vincent Perot; Swaroop Mishra; Mohit Bansal; Chen-Yu Lee; Tomas Pfister (NAACL (Long Papers), 2025)

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies. - Han Zhou 010; Xingchen Wan; Ruoxi Sun 002; Hamid Palangi; Shariq Iqbal; Ivan Vulic; Anna Korhonen; Sercan Ö. Arik (CoRR, 2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

Language Models' Factuality Depends on the Language of Inquiry. - Tushar Aggarwal; Kumar Tanmay; Ayush Agrawal; Kumar Ayush; Hamid Palangi; Paul Pu Liang (CoRR, 2025)

ShieldGemma 2: Robust and Tractable Image Content Moderation. - Wenjun Zeng; Dana Kurniawan; Ryan Mullins; Yuchi Liu; Tamoghna Saha; Dirichi Ike-Njoku; Jindong Gu; Yiwen Song; Cai Xu; Jingjing Zhou; Aparna Joshi; Shravan Dheep; et al. (CoRR, 2025)

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. - Souradip Chakraborty; Mohammadreza Pourreza; Ruoxi Sun 002; Yiwen Song; Nino Scherrer; Furong Huang; Amrit Singh Bedi; Ahmad Beirami; Jindong Gu; Hamid Palangi; Tomas Pfister (CoRR, 2025)

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents. - Salman Rahman; Liwei Jiang; James Shiffer; Genglin Liu; Sheriff Issaka; Md. Rizwan Parvez; Hamid Palangi; Kai-Wei Chang; Yejin Choi 001; Saadia Gabriel (CoRR, 2025)

AI Debate Aids Assessment of Controversial Claims. - Salman Rahman; Sheriff Issaka; Ashima Suvarna; Genglin Liu; James Shiffer; Jaeyoung Lee; Md. Rizwan Parvez; Hamid Palangi; Shi Feng; Nanyun Peng 001; Yejin Choi 001; Julian Michael; et al. (CoRR, 2025)

RADAR: Benchmarking Language Models on Imperfect Tabular Data. - Ken Gu; Zhihan Zhang 002; Kate Lin; Yuwei Zhang; Akshay Paruchuri; Hong Yu 001; Mehran Kazemi; Kumar Ayush; A. Ali Heydari; Maxwell A. Xu; Girish Narayanswamy; Yun Liu 013; et al. (CoRR, 2025)

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning. - Jaedong Hwang; Kumar Tanmay; Seok-Jin Lee; Ayush Agrawal; Hamid Palangi; Kumar Ayush; Ila Fiete; Paul Pu Liang (CoRR, 2025)

ModelCitizens: Representing Community Voices in Online Safety. - Ashima Suvarna; Christina Chance; Karolina Naranjo; Hamid Palangi; Sophie Hao; Thomas Hartvigsen; Saadia Gabriel (CoRR, 2025)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving. - Mihir Parmar; Palash Goyal; Xin Liu; Yiwen Song; Mingyang Ling; Chitta Baral; Hamid Palangi; Tomas Pfister (CoRR, 2025)