Awadallah, Ahmed

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization

Zhong, M., Yin, D., Yu, T., Zaidi, A., Mutuma, M., Jha, R., Awadallah, A. H., Celikyilmaz, A., Liu, Y., Qiu, X., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 178

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Wang, B., Xu, C., Wang, S., Gan, Z., Cheng, Y., Gao, J., Awadallah, A. H., & Li, B. (2021) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 88

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Wang, Y., Agarwal, S., Mukherjee, S., Liu, X., Gao, J., Awadallah, A. H., & Gao, J. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 77

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents

Zhang, Y., Ni, A., Mao, Z., Wu, C. H., Zhu, C., Deb, B., Awadallah, A., Radev, D., & Zhang, R. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Advanced Text Analysis TechniquesTopic Modeling

Cited by 44

Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Fourney, A., Bansal, G., Mozannar, H., Tan, C., Salinas, E., Erkang, Zhu, Niedtner, F., Proebsting, G., Bassman, G., et al. (2024) · arXiv

AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation

Cited by 17

Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference

Wang, C., Liu, S. X., & Awadallah, A. H. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Ding, D., Mallick, A., Wang, C., Sim, R., Mukherjee, S., Ruhle, V., Lakshmanan, L. V. S., & Awadallah, A. H. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

EcoAssistant: Using LLM Assistant More Affordably and Accurately

Zhang, J., Krishna, R., Awadallah, A. H., & Wang, C. (2023) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 8

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

Mehta, N., Teruel, M., Sanz, P. F., Deng, X., Awadallah, A. H., & Kiseleva, J. (2023) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 7

Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents

Pahuja, V., Lu, Y., Rosset, C., Gou, B., Mitra, A., Whitehead, S., Su, Y., & Awadallah, A. (2025) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 7

Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents

Rosset, C., Chung, H.-L., Qin, G., Chau, E. C., Feng, Z., Awadallah, A., Neville, J., & Rao, N. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 6

AgentInstruct: Toward Generative Teaching with Agentic Flows

Mitra, A., Del Corro, L., Zheng, G., Mahajan, S., Rouhana, D., Codas, A., Lu, Y., Chen, W.-G., Vrousgos, O., Rosset, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications

Arabzadeh, N., Kiseleva, J., Wu, Q., Wang, C., Awadallah, A., Dibia, V., Fourney, A., & Clarke, C. (2024) · arXiv

Usability and User Interface DesignArtificial Intelligence Applications

Cited by 1

Assessing and Verifying Task Utility in LLM-Powered Applications

Arabzadeh, N., Huo, S., Mehta, N., Wu, Q., Wang, C., Awadallah, A., Clarke, C. L. A., & Kiseleva, J. (2024) · arXiv

Artificial Intelligence ApplicationsUsability and User Interface Design

Cited by 0