Analysis of Plan-based Retrieval for Grounded Text Generation, EMNLP 2024
Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval, ICML 2024
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar 

Efficient Training of Language Models using Few-Shot Learning, ICML 2023
Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar

Teacher Guided Training: An Efficient Framework for Knowledge Transfer, ICLR 2023
Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar

Supervision Complexity and its Role in Knowledge Distillation, ICLR 2023
Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar

In defense of dual-encoders for neural ranking, ICML 2022
Aditya Krishna Menon, Sadeep Jayasumana, Seungyeon Kim, Ankit Singh Rawat, Sashank J Reddi, Sanjiv Kumar

A statistical perspective on distillation, ICML 2021
Aditya K Menon, Ankit Singh Rawat, Sashank Reddi, Seungyeon Kim, Sanjiv Kumar

Rankdistil: Knowledge distillation for ranking, AISTATS 2021
Sashank Reddi, Rama Kumar Pasumarthi, Aditya Menon, Ankit Singh Rawat, Felix Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar

Evaluations and methods for explanation through robustness analysis, ICLR 2021
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh

Semantic label smoothing for sequence to sequence problems, EMNLP 2020
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix Yu, Sanjiv Kumar

Why are adaptive methods good for attention models? NeurIPS 2020
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit, Seungyeon Kim, Sashank Reddi, Sanjiv Kumar, Suvrit Sra

Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA, 2024
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim and Tal Schuster

Faster Cascades via Speculative Decoding, 2024
Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar

EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval, 2023
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

Balancing robustness and sensitivity using feature contrastive learning, 2021
Seungyeon Kim, Daniel Glasner, Srikumar Ramalingam, Cho-Jui Hsieh, Kishore Papineni, Sanjiv Kumar

On the reproducibility of neural network predictions, 2021
Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Menon, Sanjiv Kumar

Your first machine learning rook (처음 배우는 머신러닝), Hanbit Publishing Network 2017
Seungyeon Kim and Youngjoo Chung