Lalit K. Jain

According to our database, Lalit K. Jain authored at least 14 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench.

Reuben Narad, Siddharth Suresh, Jiayi Chen, Pine S. L. Dysart-Bricken, Bob Mankoff, Rob Nowak, Jifan Zhang, Lalit K. Jain

CoRR, July, 2025

Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs.

Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang

CoRR, February, 2025

Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation.

Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak

Proceedings of the Forty-second International Conference on Machine Learning, 2025

BIG-Bench Extra Hard.

Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.

Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin G. Jamieson, Bob Mankoff, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DIRECT: Deep Active Learning under Imbalance and Label Noise.

Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak

CoRR, 2023

2022

Nearly Optimal Algorithms for Level Set Estimation.

Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Finding All ε-Good Arms in Stochastic Bandits.

Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert D. Nowak

CoRR, 2020

Finding All $\epsilon$-Good Arms in Stochastic Bandits.

Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Adaptive Sampling for Coarse Ranking.

Sumeet Katariya, Lalit K. Jain, Nandana Sengupta, James Evans, Robert Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

NEXT: A system to easily connect crowdsourcing and adaptive data collection.

Scott Sievert, Daniel Ross, Lalit K. Jain, Kevin Jamieson, Robert Nowak, Robert Mankoff

Proceedings of the 16th Python in Science Conference, 2017

Learning Low-Dimensional Metrics.

Blake Mason, Lalit K. Jain, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Finite Sample Prediction and Recovery Bounds for Ordinal Embedding.

Lalit K. Jain, Kevin G. Jamieson, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning.

Kevin G. Jamieson, Lalit K. Jain, Chris Fernandez, Nicholas J. Glattard, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015