Swaminathan, Adith

Unbiased Learning-to-Rank with Biased Feedback

Joachims, T., Swaminathan, A., & Schnabel, T. (2017) · Proceedings of the Tenth ACM International Conference on Web Search and Data Mining

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 531

Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

Cheng, C.-A., Nie, A., & Swaminathan, A. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 4

Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

Cheng, C.-A., Nie, A., & Swaminathan, A. (2024) · Advances in Neural Information Processing Systems 37

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 4

LLF-Bench: Benchmark for Interactive Learning from Language Feedback

Cheng, C.-A., Kolobov, A., Misra, D., Nie, A., & Swaminathan, A. (2023) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 1

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Herlihy, C., Neville, J., Schnabel, T., & Swaminathan, A. (2024) · arXiv

Recommender Systems and TechniquesSpeech and dialogue systems

Cited by 1

Understanding the Challenges in Iterative Generative Optimization with LLMs

Nie, A., Daull, X., Kuang, Z., Akkiraju, A., Chaudhuri, A., Piasevoli, M., Rong, R., Yuan, Y., Choudhary, P., Xiao, S., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0