Jacob Mitchell Springer

According to our database1, Jacob Mitchell Springer authored at least 7 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Disentangling Geometry, Performance, and Training in Language Models.
CoRR, February, 2026

2025
Overtrained Language Models Are Harder to Fine-Tune.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Repetition Improves Language Model Embeddings.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding the Influence of Synthetic Data for Text Embedders.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mitigating Bias in RAG: Controlling the Embedder.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding Catastrophic Forgetting in Language Models via Implicit Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024


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