Language Model Training Paradigms for Clinical Feature Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Yurong, Burger, Manuel, Rätsch, Gunnar, Kuznetsova, Rita |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-modal Graph Learning over UMLS Knowledge Graphs
by: Burger, Manuel, et al.
Published: (2023)
by: Burger, Manuel, et al.
Published: (2023)
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
by: Kuznetsova, Rita, et al.
Published: (2023)
by: Kuznetsova, Rita, et al.
Published: (2023)
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
by: Baldenweg, Fabian, et al.
Published: (2024)
by: Baldenweg, Fabian, et al.
Published: (2024)
Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025)
by: Sergeev, Fedor, et al.
Published: (2025)
Dynamic Survival Analysis for Early Event Prediction
by: Yèche, Hugo, et al.
Published: (2024)
by: Yèche, Hugo, et al.
Published: (2024)
Domain Generalization and Adaptation in Intensive Care with Anchor Regression
by: Londschien, Malte, et al.
Published: (2025)
by: Londschien, Malte, et al.
Published: (2025)
Hierarchical Mamba Meets Hyperbolic Geometry: A New Paradigm for Structured Language Embeddings
by: Patil, Sarang, et al.
Published: (2025)
by: Patil, Sarang, et al.
Published: (2025)
ctELM: Decoding and Manipulating Embeddings of Clinical Trials with Embedding Language Models
by: Ondov, Brian, et al.
Published: (2026)
by: Ondov, Brian, et al.
Published: (2026)
Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition
by: Duan, Yifei, et al.
Published: (2025)
by: Duan, Yifei, et al.
Published: (2025)
Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models
by: Burger, Christopher, et al.
Published: (2024)
by: Burger, Christopher, et al.
Published: (2024)
Training Large Language Models to Predict Clinical Events
by: Turtel, Benjamin, et al.
Published: (2026)
by: Turtel, Benjamin, et al.
Published: (2026)
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
by: Hao, Shibo, et al.
Published: (2023)
by: Hao, Shibo, et al.
Published: (2023)
Scaling Embedding Layers in Language Models
by: Yu, Da, et al.
Published: (2025)
by: Yu, Da, et al.
Published: (2025)
Repetition Improves Language Model Embeddings
by: Springer, Jacob Mitchell, et al.
Published: (2024)
by: Springer, Jacob Mitchell, et al.
Published: (2024)
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment
by: Yin, Yueqin, et al.
Published: (2024)
by: Yin, Yueqin, et al.
Published: (2024)
Towards Foundation Models for Critical Care Time Series
by: Burger, Manuel, et al.
Published: (2024)
by: Burger, Manuel, et al.
Published: (2024)
Induced Model Matching: Restricted Models Help Train Full-Featured Models
by: Muneeb, Usama, et al.
Published: (2024)
by: Muneeb, Usama, et al.
Published: (2024)
CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models
by: Huang, Weiyu, et al.
Published: (2025)
by: Huang, Weiyu, et al.
Published: (2025)
DEPT: Decoupled Embeddings for Pre-training Language Models
by: Iacob, Alex, et al.
Published: (2024)
by: Iacob, Alex, et al.
Published: (2024)
Shared Global and Local Geometry of Language Model Embeddings
by: Lee, Andrew, et al.
Published: (2025)
by: Lee, Andrew, et al.
Published: (2025)
How to Train Private Clinical Language Models: A Comparative Study of Privacy-Preserving Pipelines for ICD-9 Coding
by: Dufour, Mathieu, et al.
Published: (2025)
by: Dufour, Mathieu, et al.
Published: (2025)
Quantifying True Robustness: Synonymity-Weighted Similarity for Trustworthy XAI Evaluation
by: Burger, Christopher
Published: (2025)
by: Burger, Christopher
Published: (2025)
Embedding Geometries of Contrastive Language-Image Pre-Training
by: Chou, Jason Chuan-Chih, et al.
Published: (2024)
by: Chou, Jason Chuan-Chih, et al.
Published: (2024)
Cascade-Aware Training of Language Models
by: Wang, Congchao, et al.
Published: (2024)
by: Wang, Congchao, et al.
Published: (2024)
Training Language Models to Reason Efficiently
by: Arora, Daman, et al.
Published: (2025)
by: Arora, Daman, et al.
Published: (2025)
Rotary Offset Features in Large Language Models
by: Jonasson, André
Published: (2025)
by: Jonasson, André
Published: (2025)
New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing
by: Madsen, Andreas
Published: (2024)
by: Madsen, Andreas
Published: (2024)
CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models
by: Kocak, Aysenur, et al.
Published: (2025)
by: Kocak, Aysenur, et al.
Published: (2025)
Attention with Trained Embeddings Provably Selects Important Tokens
by: Wu, Diyuan, et al.
Published: (2025)
by: Wu, Diyuan, et al.
Published: (2025)
Invariant Features in Language Models: Geometric Characterization and Model Attribution
by: Dasgupta, Agnibh, et al.
Published: (2026)
by: Dasgupta, Agnibh, et al.
Published: (2026)
Transferring Linear Features Across Language Models With Model Stitching
by: Chen, Alan, et al.
Published: (2025)
by: Chen, Alan, et al.
Published: (2025)
Automatically Interpreting Millions of Features in Large Language Models
by: Paulo, Gonçalo, et al.
Published: (2024)
by: Paulo, Gonçalo, et al.
Published: (2024)
Semantic Structure of Feature Space in Large Language Models
by: Kozlowski, Austin C., et al.
Published: (2026)
by: Kozlowski, Austin C., et al.
Published: (2026)
Asynchronous Local-SGD Training for Language Modeling
by: Liu, Bo, et al.
Published: (2024)
by: Liu, Bo, et al.
Published: (2024)
End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)
by: Cornille, Nathan, et al.
Published: (2024)
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)
Latent Feature Mining for Predictive Model Enhancement with Large Language Models
by: Li, Bingxuan, et al.
Published: (2024)
by: Li, Bingxuan, et al.
Published: (2024)
Scaling Embeddings Outperforms Scaling Experts in Language Models
by: Liu, Hong, et al.
Published: (2026)
by: Liu, Hong, et al.
Published: (2026)
ELF: Embedded Language Flows
by: Hu, Keya, et al.
Published: (2026)
by: Hu, Keya, et al.
Published: (2026)
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
by: Laptev, Daniil, et al.
Published: (2025)
by: Laptev, Daniil, et al.
Published: (2025)
Similar Items
-
Multi-modal Graph Learning over UMLS Knowledge Graphs
by: Burger, Manuel, et al.
Published: (2023) -
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
by: Kuznetsova, Rita, et al.
Published: (2023) -
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
by: Baldenweg, Fabian, et al.
Published: (2024) -
Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025) -
Dynamic Survival Analysis for Early Event Prediction
by: Yèche, Hugo, et al.
Published: (2024)