McKeown, Kathleen

Benchmarking Large Language Models for News Summarization

Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 415

Benchmarking Large Language Models for News Summarization

Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 415

Discourse Segmentation of Multi-Party Conversation

Galley, M., McKeown, K., Fosler-Lussier, E., & Jing, H. (2003) · Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 351

The Pyramid Method: Incorporating human content selection variation in summarization evaluation

Nenkova, A., Passonneau, R., & McKeown, K. (2007) · ACM Transactions on Speech and Language Processing

Advanced Text Analysis TechniquesTopic Modeling

Cited by 307

Human-Centric Justification of Machine Learning Predictions

Biran, O., & McKeown, K. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 84

Improving Factual Consistency of Abstractive Summarization via Question Answering

Nan, F., Nogueira dos Santos, C., Zhu, H., Ng, P., McKeown, K., Nallapati, R., Zhang, D., Wang, Z., Arnold, A. O., & Xiang, B. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 78

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection

Fung, Y., Thomas, C., Gangi Reddy, R., Polisetty, S., Ji, H., Chang, S.-F., McKeown, K., Bansal, M., & Sil, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Misinformation and Its ImpactsTopic Modeling

Cited by 52

Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation

Huang, K.-H., McKeown, K., Nakov, P., Choi, Y., & Ji, H. (2022) · arXiv

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 46

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization

Ladhak, F., Durmus, E., He, H., Cardie, C., & McKeown, K. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 46

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization

Ladhak, F., Durmus, E., Suzgun, M., Zhang, T., Jurafsky, D., McKeown, K., & Hashimoto, T. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 30

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Tang, L., Shalyminov, I., Wong, A., Burnsky, J., Vincent, J., Yang, Y., Singh, S., Feng, S., Song, H., Su, H., et al. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Speech and dialogue systemsTopic Modeling

Cited by 26

Learning Interpretable Style Embeddings via Prompting LLMs

Patel, A., Rao, D., Kothary, A., McKeown, K., & Callison-Burch, C. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 10

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations

Chen, Y., Zhong, R., Ri, N., Zhao, C., He, H., Steinhardt, J., Yu, Z., & McKeown, K. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 5