The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Jeong, Daniel P., Mani, Pranav, Garg, Saurabh, Lipton, Zachary C., Oberst, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
by: Jeong, Daniel P., et al.
Published: (2024)
by: Jeong, Daniel P., et al.
Published: (2024)
LLM-Select: Feature Selection with Large Language Models
by: Jeong, Daniel P., et al.
Published: (2024)
by: Jeong, Daniel P., et al.
Published: (2024)
Personalized Language Modeling from Personalized Human Feedback
by: Li, Xinyu, et al.
Published: (2024)
by: Li, Xinyu, et al.
Published: (2024)
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
by: Mani, Pranav, et al.
Published: (2025)
by: Mani, Pranav, et al.
Published: (2025)
Learning to Trust the Crowd: A Multi-Model Consensus Reasoning Engine for Large Language Models
by: Kallem, Pranav
Published: (2026)
by: Kallem, Pranav
Published: (2026)
Post-Hoc Reversal: Are We Selecting Models Prematurely?
by: Ranjan, Rishabh, et al.
Published: (2024)
by: Ranjan, Rishabh, et al.
Published: (2024)
Do Personality Traits Interfere? Geometric Limitations of Steering in Large Language Models
by: Bhandari, Pranav, et al.
Published: (2026)
by: Bhandari, Pranav, et al.
Published: (2026)
Correlated Errors in Large Language Models
by: Kim, Elliot, et al.
Published: (2025)
by: Kim, Elliot, et al.
Published: (2025)
Large Language Models for Medical Forecasting -- Foresight 2
by: Kraljevic, Zeljko, et al.
Published: (2024)
by: Kraljevic, Zeljko, et al.
Published: (2024)
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
by: Gillman, Nate, et al.
Published: (2024)
by: Gillman, Nate, et al.
Published: (2024)
A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
by: Khatun, Aisha, et al.
Published: (2024)
by: Khatun, Aisha, et al.
Published: (2024)
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
by: Tang, Zilu, et al.
Published: (2025)
by: Tang, Zilu, et al.
Published: (2025)
Hallucination is Inevitable: An Innate Limitation of Large Language Models
by: Xu, Ziwei, et al.
Published: (2024)
by: Xu, Ziwei, et al.
Published: (2024)
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
by: Ramprasad, Sanjana, et al.
Published: (2024)
by: Ramprasad, Sanjana, et al.
Published: (2024)
RE-Adapt: Reverse Engineered Adaptation of Large Language Models
by: Fleshman, William, et al.
Published: (2024)
by: Fleshman, William, et al.
Published: (2024)
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide
by: Szep, Marton, et al.
Published: (2024)
by: Szep, Marton, et al.
Published: (2024)
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
by: Luo, Zheng, et al.
Published: (2026)
by: Luo, Zheng, et al.
Published: (2026)
Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning
by: Ioannou, Antreas, et al.
Published: (2025)
by: Ioannou, Antreas, et al.
Published: (2025)
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
by: Alizadeh, Keivan, et al.
Published: (2023)
by: Alizadeh, Keivan, et al.
Published: (2023)
The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
by: Xu, Yi, et al.
Published: (2026)
by: Xu, Yi, et al.
Published: (2026)
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
by: Cabello, Laura, et al.
Published: (2024)
by: Cabello, Laura, et al.
Published: (2024)
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
by: Wang, Yibin, et al.
Published: (2024)
by: Wang, Yibin, et al.
Published: (2024)
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
by: Wang, Fan, et al.
Published: (2024)
by: Wang, Fan, et al.
Published: (2024)
CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment
by: Guo, Siyuan, et al.
Published: (2026)
by: Guo, Siyuan, et al.
Published: (2026)
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework
by: Aswani, Krishna, et al.
Published: (2024)
by: Aswani, Krishna, et al.
Published: (2024)
Bridging the Bosphorus: Advancing Turkish Large Language Models through Strategies for Low-Resource Language Adaptation and Benchmarking
by: Acikgoz, Emre Can, et al.
Published: (2024)
by: Acikgoz, Emre Can, et al.
Published: (2024)
On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
by: Kurz, Simon, et al.
Published: (2024)
by: Kurz, Simon, et al.
Published: (2024)
Limits of Transformer Language Models on Learning to Compose Algorithms
by: Thomm, Jonathan, et al.
Published: (2024)
by: Thomm, Jonathan, et al.
Published: (2024)
Uncovering Emergent Physics Representations Learned In-Context by Large Language Models
by: Song, Yeongwoo, et al.
Published: (2025)
by: Song, Yeongwoo, et al.
Published: (2025)
Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels
by: Nguyen, Vy, et al.
Published: (2024)
by: Nguyen, Vy, et al.
Published: (2024)
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024)
by: Pasewark, Eric, et al.
Published: (2024)
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability
by: Xu, Zhuoyan, et al.
Published: (2024)
by: Xu, Zhuoyan, et al.
Published: (2024)
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses
by: Su, Hung-Ting, et al.
Published: (2024)
by: Su, Hung-Ting, et al.
Published: (2024)
Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models
by: Fodor, James
Published: (2025)
by: Fodor, James
Published: (2025)
A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian
by: Rogoz, Ana-Cristina, et al.
Published: (2025)
by: Rogoz, Ana-Cristina, et al.
Published: (2025)
Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks
by: AlDahoul, Nouar, et al.
Published: (2025)
by: AlDahoul, Nouar, et al.
Published: (2025)
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
by: Li, Yanan, et al.
Published: (2025)
by: Li, Yanan, et al.
Published: (2025)
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)
by: Xiao, Xiaojun, et al.
Published: (2024)
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
by: Zhou, Yucheng, et al.
Published: (2025)
by: Zhou, Yucheng, et al.
Published: (2025)
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
by: Jeong, Jiwon, et al.
Published: (2025)
by: Jeong, Jiwon, et al.
Published: (2025)
Similar Items
-
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
by: Jeong, Daniel P., et al.
Published: (2024) -
LLM-Select: Feature Selection with Large Language Models
by: Jeong, Daniel P., et al.
Published: (2024) -
Personalized Language Modeling from Personalized Human Feedback
by: Li, Xinyu, et al.
Published: (2024) -
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
by: Mani, Pranav, et al.
Published: (2025) -
Learning to Trust the Crowd: A Multi-Model Consensus Reasoning Engine for Large Language Models
by: Kallem, Pranav
Published: (2026)