Rosset, Corby

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

LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts

Hashemi, H., Eisner, J., Rosset, C., Van Durme, B., & Kedzie, C. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 47

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