Hamid Palangi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
11
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. | Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister |
| 2025 | ACL | Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. | Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi |
| 2025 | EMNLP | ModelCitizens: Representing Community Voices in Online Safety. | Ashima Suvarna, Christina Chance, Karolina Naranjo, Hamid Palangi, Sophie Hao, Thomas Hartvigsen, Saadia Gabriel |
| 2025 | ICML | Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. | Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister |
| 2025 | NAACL | Reverse Thinking Makes LLMs Stronger Reasoners. | Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister |
| 2024 | ACL | 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 |
| 2024 | ICLR | Teaching Language Models to Hallucinate Less with Synthetic Tasks. | Erik Jones, Hamid Palangi, Clarisse Simes, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar |
| 2024 | ICLR | Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. | Mert Yksekgnl, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi |
| 2023 | AAAI | Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness. | Abdelrahman Zayed, Prasanna Parthasarathi, Gonalo Mordido, Hamid Palangi, Samira Shabanian, Sarath Chandar |
| 2023 | ACL | Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models. | Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi, Radames Cruz Moreno, Hamed Khanpour |
| 2023 | CVPR | 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 |
| 2023 | ICML | Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. | Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman |
| 2023 | IRI | Improving the Reusability of Pre-trained Language Models in Real-world Applications. | Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang, Radames Cruz Moreno, Hamed Khanpour |
| 2022 | ACL | 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 |
| 2022 | EMNLP | NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? | Saadia Gabriel, Hamid Palangi, Yejin Choi |
| 2021 | CogSci | Compositional processing emerges in neural networks solving math problems. | Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao |
| 2021 | EMNLP | NICE: Neural Image Commenting with Empathy. | Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao |
| 2021 | NAACL | 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 |
| 2020 | AAAI | Unified Vision-Language Pre-Training for Image Captioning and VQA. | Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao |
| 2020 | ICML | Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning". | Saeed Amizadeh, Hamid Palangi, Alex Polozov, Yichen Huang, Kazuhito Koishida |
| 2020 | ICML | 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 |
| 2018 | AAAI | Question-Answering with Grammatically-Interpretable Representations. | Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng |
| 2018 | ICASSP | Robust Detection of Epileptic Seizures Using Deep Neural Networks. | Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward |
| 2016 | ICASSP | Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. | Hamid Palangi, Rabab Kreidieh Ward, Li Deng |
| 2013 | ICASSP | Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors. | Hamid Palangi, Rabab K. Ward, Li Deng |
| 2009 | IDA | Image Coding and Compression with Sparse 3D Discrete Cosine Transform. | Hamid Palangi, Aboozar Ghafari, Massoud Babaie-Zadeh, Christian Jutten |