Jacob Mitchell Springer

According to our database, Jacob Mitchell Springer authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

Overtrained Language Models Are Harder to Fine-Tune.

Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan

CoRR, March, 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

Understanding the Influence of Synthetic Data for Text Embedders.

Jacob Mitchell Springer, Vaibhav Adlakha, Siva Reddy, Aditi Raghunathan, Marius Mosbach

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mitigating Bias in RAG: Controlling the Embedder.

Taeyoun Kim, Jacob Mitchell Springer, Aditi Raghunathan, Maarten Sap

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning.

Jacob Mitchell Springer, Vaishnavh Nagarajan, Aditi Raghunathan

Proceedings of the Twelfth International Conference on Learning Representations, 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