Palangi, Hamid

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

Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 1,526

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

Zhou, L., Palangi, H., Zhang, L., Hu, H., Corso, J., & Gao, J. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 864

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

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 279

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

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 276

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents

Tan, Z., Yan, J., Hsu, I.-H., Han, R., Wang, Z., Le, L. T., Song, Y., Chen, Y., Palangi, H., Lee, G., et al. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 54

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

Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y., & Ghassemi, M. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Aging with grace: Lifelong model editing with discrete key-value adaptors

Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y., & Ghassemi, M. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Momennejad, I., Hasanbeig, H., Frujeri, F. V., Sharma, H., Jojic, N., Palangi, H., Ness, R., & Larson, J. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingAI-based Problem Solving and Planning

Cited by 27

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Momennejad, I., Hasanbeig, H., Vieira, F., Sharma, H., Ness, R. O., Jojic, N., Palangi, H., & Larson, J. (2023) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 27

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Feng, S., Wang, Z., Wang, Y., Ebrahimi, S., Palangi, H., Miculicich, L., Kulshrestha, A., Rauschmayr, N., Choi, Y., Tsvetkov, Y., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 24

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems

Feng, S., Wang, Z., Goyal, P., Wang, Y., Shi, W., Xia, H., Palangi, H., Zettlemoyer, L., Tsvetkov, Y., Lee, C.-Y., et al. (2025) · arXiv

Topic ModelingMetaheuristic Optimization Algorithms Research

Cited by 18

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

Ghanbarzadeh, S., Huang, Y., Palangi, H., Cruz Moreno, R., & Khanpour, H. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Ethics and Social Impacts of AITopic Modeling

Cited by 17

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents

Tan, Z., Yan, J., Hsu, I.-H., Han, R., Wang, Z., Le, L., Song, Y., Chen, Y., Palangi, H., Lee, G., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 16

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation

Miculicich, L., Parmar, M., Palangi, H., Dvijotham, K. D., Montanari, M., Pfister, T., & Le, L. T. (2025) · arXiv

Formal Methods in VerificationSafety Systems Engineering in Autonomy

Cited by 2

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science

Salemi, A., Parmar, M., Goyal, P., Song, Y., Yoon, J., Zamani, H., Pfister, T., & Palangi, H. (2025) · arXiv

Multi-Agent Systems and NegotiationInformation Retrieval and Search Behavior

Cited by 2

Watch and Learn: Learning to Use Computers from Online Videos

Song, C. H., Song, Y., Goyal, P., Su, Y., Riva, O., Palangi, H., & Pfister, T. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies

Zhou, H., Wan, X., Sun, R., Palangi, H., Iqbal, S., Vulić, I., Korhonen, A., & Arık, S. Ö. (2025) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 0