Narasimhan, Karthik

ShieldGemma: Generative AI Content Moderation Based on Gemma

Zeng, W., Liu, Y., Mullins, R., Peran, L., Fernandez, J., Harkous, H., Narasimhan, K., Proud, D., Kumar, P., Radharapu, B., et al. (2024) · arXiv

Hate Speech and Cyberbullying DetectionAdversarial Robustness in Machine Learning

Cited by 3

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

Yang, J., Jimenez, C. E., Zhang, A. L., Lieret, K., Yang, J., Wu, X., Press, O., Muennighoff, N., Synnaeve, G., Narasimhan, K. R., et al. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3

Can Language Models Solve Olympiad Programming?

Shi, Q., Tang, M., Narasimhan, K., & Yao, S. (2024) · arXiv

Topic ModelingTeaching and Learning Programming

Cited by 3

Connecting Context-specific Adaptation in Humans to Meta-learning

Dubey, R., Grant, E., Luo, M., Narasimhan, K., & Griffiths, T. (2020) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 1

$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Barres, V., Dong, H., Ray, S., Si, X., & Narasimhan, K. (2025) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 1

Humans are Missing from AI Coding Agent Research

Wang, Z. Z., Yang, J., Lieret, K., Tartaglini, A., Chen, V., Wei, Y., Wang, Z., Zhang, L., Narasimhan, K., Schmidt, L., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0