Tandon, Niket
Microsoft (United States)
8 papers on CoChat
Most cited papers
- Verified
Self-Refine: Iterative Refinement with Self-Feedback
Madaan, A., Tandon, N., Gupta, P., Hallinan, S., Gao, L., Wiegreffe, S., Alon, U., Dziri, N., Prabhumoye, S., Yang, Y., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2,314
- Verified
Can AI language models replace human participants?
Dillion, D., Tandon, N., Gu, Y., & Gray, K. (2023) · Trends in Cognitive Sciences
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 405
- Verified
Memory-assisted prompt editing to improve GPT-3 after deployment
Madaan, A., Tandon, N., Clark, P., & Yang, Y. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 60
- Verified
Calibrating Large Language Models with Sample Consistency
Lyu, Q., Shridhar, K., Malaviya, C., Zhang, L., Elazar, Y., Tandon, N., Apidianaki, M., Sachan, M., & Callison-Burch, C. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 21
- Verified
Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback
Tandon, N., Madaan, A., Clark, P., & Yang, Y. (2021) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 19
- Verified
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
Akyürek, A. F., Akyürek, E., Madaan, A., Kalyan, A., Clark, P., Wijaya, D., & Tandon, N. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 4
- Verified
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
Majumder, B. P., Mishra, B. D., Jansen, P., Tafjord, O., Tandon, N., Zhang, L., Callison-Burch, C., & Clark, P. (2023) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 4
- Verified
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Borges, B., Tandon, N., Käser, T., & Bosselut, A. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 0
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