Jacob Mitchell Springer
6 papers · 2024–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
Top co-authors
Research topics
Keywords
text embedding
(2)
contrastive learning
(1)
catastrophic forgetting
(1)
zero-shot learning
(1)
in-context learning
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
out-of-distribution generalization
(1)
instruction tuning
(1)
pretraining
(1)
bias mitigation
(1)
synthetic data
(1)
model generalization
(1)
retrieval-augmented generation
(1)
fine tuning
(1)
autoregressive language model
(1)
bidirectional model
(1)
token budget
(1)
feature quality
(1)
implicit inference
(1)
Papers
Mitigating Bias in RAG: Controlling the Embedder
ACL 2025
Overtrained Language Models Are Harder to Fine-Tune
ICML 2025
Repetition Improves Language Model Embeddings
ICLR 2025
Understanding the Influence of Synthetic Data for Text Embedders
ACL 2025
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
ICLR 2024
Understanding Catastrophic Forgetting in Language Models via Implicit Inference
ICLR 2024