Suhas Kotha

According to our database, Suhas Kotha authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG.

Seungju Han, Konwoo Kim, Chanwoo Park, Benjamin Newman, Suhas Kotha, Jaehun Jung, James Zou, Yejin Choi

CoRR, March, 2026

Data-efficient pre-training by scaling synthetic megadocs.

Konwoo Kim, Suhas Kotha, Yejin Choi, Tatsunori Hashimoto, Nick Haber, Percy Liang

CoRR, March, 2026

Replaying pre-training data improves fine-tuning.

Suhas Kotha, Percy Liang

CoRR, March, 2026

2025

Pre-training under infinite compute.

Konwoo Kim, Suhas Kotha, Percy Liang, Tatsunori Hashimoto

CoRR, September, 2025

Repetition Improves Language Model Embeddings.

Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Jailbreaking is Best Solved by Definition.

Taeyoun Kim, Suhas Kotha, Aditi Raghunathan

CoRR, 2024

A Safe Harbor for AI Evaluation and Red Teaming.

Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson

CoRR, 2024

Position: A Safe Harbor for AI Evaluation and Red Teaming.

Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Understanding Catastrophic Forgetting in Language Models via Implicit Inference.

Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Provably Bounding Neural Network Preimages.

Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning.

Suhas Kotha, Anirudh Koul, Siddha Ganju, Meher Kasam

CoRR, 2022