Lalit K. Jain

19 papers A* 3A 2Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
BIG-Bench Extra Hard.
ACL (1)
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
2025 — conf
Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs.
EMNLP (Findings)
Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang
2025 J jnl
Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs.
CoRR
Kuan Lok Zhou, Jiayi Chen, Siddharth Suresh, Reuben Narad, Timothy T. Rogers, Lalit K. Jain, Robert D. Nowak, Bob Mankoff, Jifan Zhang
2025 A* conf
Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation.
ICML
Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak
2025 J jnl
Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench.
CoRR
Reuben Narad, Siddharth Suresh, Jiayi Chen, Pine S. L. Dysart-Bricken, Bob Mankoff, Rob Nowak, Jifan Zhang, Lalit K. Jain
2024 A* conf
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.
NeurIPS
Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Bob Mankoff, Robert Nowak
2024 J jnl
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning.
CoRR
Jifan Zhang, Lalit K. Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy T. Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak
2023 J jnl
DIRECT: Deep Active Learning under Imbalance and Label Noise.
CoRR
Shyam Nuggehalli, Jifan Zhang, Lalit K. Jain, Robert D. Nowak
2022 A conf
Nearly Optimal Algorithms for Level Set Estimation.
AISTATS
Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak
2021 J jnl
Nearly Optimal Algorithms for Level Set Estimation.
CoRR
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit K. Jain
2020 A* conf
Finding All $\epsilon$-Good Arms in Stochastic Bandits.
NeurIPS
Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert Nowak
2020 J jnl
Finding All ε-Good Arms in Stochastic Bandits.
CoRR
Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert D. Nowak
2018 A conf
Adaptive Sampling for Coarse Ranking.
AISTATS
Sumeet Katariya, Lalit K. Jain, Nandana Sengupta, James Evans, Robert Nowak
2018 J jnl
Adaptive Sampling for Coarse Ranking.
CoRR
Sumeet Katariya, Lalit K. Jain, Nandana Sengupta, James Evans, Robert Nowak
2017 — conf
Learning Low-Dimensional Metrics.
NIPS
Blake Mason, Lalit K. Jain, Robert D. Nowak
2017 — conf
NEXT: A system to easily connect crowdsourcing and adaptive data collection.
SciPy
Scott Sievert, Daniel Ross, Lalit K. Jain, Kevin Jamieson, Robert Nowak, Robert Mankoff
2016 — conf
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding.
NIPS
Lalit K. Jain, Kevin Jamieson, Robert D. Nowak
2016 J jnl
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding.
CoRR
Lalit K. Jain, Kevin Jamieson, Robert D. Nowak
2015 — conf
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning.
NIPS
Kevin Jamieson, Lalit K. Jain, Chris Fernandez, Nicholas J. Glattard, Robert D. Nowak