Iter, Dan

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment

Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., & Zhu, C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 948

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., & Zhu, C. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 948

Automatic Prompt Optimization with “Gradient Descent” and Beam Search

Pryzant, R., Iter, D., Li, J., Lee, Y., Zhu, C., & Zeng, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 191

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Pryzant, R., Iter, D., Li, J., Lee, Y. T., Zhu, C., & Zeng, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 191

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

Automatic detection of Incoherent speech for diagnosing schizophrenia

Iter, D., Yoon, J., & Jurafsky, D. (2018) · Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic

Mental Health via WritingSchizophrenia research and treatment

Cited by 115

Generate rather than Retrieve: Large Language Models are Strong Context Generators

Yu, W., Iter, D., Wang, S., Xu, Y., Ju, M., Sanyal, S., Zhu, C., Zeng, M., & Jiang, M. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 95