Reddy, Siva

CoQA: A Conversational Question Answering Challenge

Reddy, S., Chen, D., & Manning, C. D. (2019) · Transactions of the Association for Computational Linguistics

Topic ModelingSpeech and dialogue systems

Cited by 975

StereoSet: Measuring stereotypical bias in pretrained language models

Nadeem, M., Bethke, A., & Reddy, S. (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)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 643

StereoSet: Measuring stereotypical bias in pretrained language models

Nadeem, M., Bethke, A., & Reddy, S. (2020) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 643

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

StarCoder: may the source be with you!

Li, R., Allal, L. B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 261

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Dziri, N., Milton, S., Yu, M., Zaiane, O., & Reddy, S. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 121

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

Adlakha, V., BehnamGhader, P., Lu, X. H., Meade, N., & Reddy, S. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 74

Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering

Adlakha, V., BehnamGhader, P., Lu, X. H., Meade, N., & Reddy, S. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 74

The Impact of Positional Encoding on Length Generalization in Transformers

Kazemnejad, A., Padhi, I., Ramamurthy, K. N., Das, P., & Reddy, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 54

Interpretability Needs a New Paradigm

Madsen, A., Lakkaraju, H., Reddy, S., & Chandar, S. (2024) · arXiv

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

Cited by 22

Few-Shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems

Kulshreshtha, D., Shayan, M., Belfer, R., Reddy, S., Serban, I. V., & Kochmar, E. (2022) · Frontiers in Artificial Intelligence and Applications

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 18

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Dziri, N., Milton, S., Yu, M., Zaiane, O., & Reddy, S. (2022) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 13

Using In-Context Learning to Improve Dialogue Safety

Meade, N., Gella, S., Hazarika, D., Gupta, P., Jin, D., Reddy, S., Liu, Y., & Hakkani-Tur, D. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Speech and dialogue systemsHate Speech and Cyberbullying Detection

Cited by 13

WebLINX: Real-World Website Navigation with Multi-Turn Dialogue

Lù, X. H., Kasner, Z., & Reddy, S. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 2

DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning

Marjanović, S. V., Patel, A., Adlakha, V., Aghajohari, M., BehnamGhader, P., Bhatia, M., Khandelwal, A., Kraft, A., Krojer, B., Lù, X. H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0