Khashabi, Daniel

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 1,243

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

UNIFIEDQA: Crossing Format Boundaries with a Single QA System

Khashabi, D., Min, S., Khot, T., Sabharwal, A., Tafjord, O., Clark, P., & Hajishirzi, H. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Topic ModelingMultimodal Machine Learning Applications

Cited by 514

When not to trust language models: Investigating effectiveness of parametric and non-parametric memories

Mallen, A., Asai, A., Zhong, V., Das, R., Khashabi, D., & Hajishirzi, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 340

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Mishra, S., Khashabi, D., Baral, C., & Hajishirzi, H. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 269

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Mishra, S., Khashabi, D., Baral, C., & Hajishirzi, H. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 269

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

Geva, M., Khashabi, D., Segal, E., Khot, T., Roth, D., & Berant, J. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 242

“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding

Zhou, B., Khashabi, D., Ning, Q., & Roth, D. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 137

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Wang, Y., Kordi, Y., Mishra, S., Liu, A., Smith, N. A., Khashabi, D., & Hajishirzi, H. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 118

Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims

Chen, S., Khashabi, D., Yin, W., Callison-Burch, C., & Roth, D. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 104

ProsocialDialog: A prosocial backbone for conversational agents

Kim, H., Yu, Y., Jiang, L., Lu, X., Khashabi, D., Kim, G., Choi, Y., & Sap, M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 80

Time Waits for No One! Analysis and Challenges of Temporal Misalignment

Luu, K., Khashabi, D., Gururangan, S., Mandyam, K., & Smith, N. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesTopic Modeling

Cited by 41

Generating Sequences by Learning to Self-Correct

Welleck, S., Lu, X., West, P., Brahman, F., Shen, T., Khashabi, D., & Choi, Y. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell

Lu, T., Gao, M., Yu, K., Byerly, A., & Khashabi, D. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 21

The tail wagging the dog: Dataset construction biases of social bias benchmarks

Selvam, N., Dev, S., Khashabi, D., Khot, T., & Chang, K.-W. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 11

Dated Data: Tracing Knowledge Cutoffs in Large Language Models

Cheng, J., Marone, M., Weller, O., Lawrie, D., Khashabi, D., & Van Durme, B. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Jiang, D., Zhang, J., Weller, O., Weir, N., Van Durme, B., & Khashabi, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Jiang, D., Zhang, J., Weller, O., Weir, N., Van Durme, B., & Khashabi, D. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 7

Challenging the Evaluator: LLM Sycophancy Under User Rebuttal

Kim, S. W., & Khashabi, D. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Ethics and Social Impacts of AISpeech and dialogue systems

Cited by 6

SemStamp: A semantic watermark with paraphrastic robustness for text generation

Hou, A. B., Zhang, J., He, T., Wang, Y., Chuang, Y.-S., Wang, H., Shen, L., Van Durme, B., Khashabi, D., & Tsvetkov, Y. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 3