Saved in:
| Main Authors: | Hisch, Markus, Wang, Xing David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.04466 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models
by: Salnikov, Mikhail, et al.
Published: (2025)
by: Salnikov, Mikhail, et al.
Published: (2025)
Closing the gap between open-source and commercial large language models for medical evidence summarization
by: Zhang, Gongbo, et al.
Published: (2024)
by: Zhang, Gongbo, et al.
Published: (2024)
Performance of large language models in numerical vs. semantic medical knowledge: Benchmarking on evidence-based Q&As
by: Avnat, Eden, et al.
Published: (2024)
by: Avnat, Eden, et al.
Published: (2024)
Surrogate modeling for interpreting black-box LLMs in medical predictions
by: Han, Changho, et al.
Published: (2026)
by: Han, Changho, et al.
Published: (2026)
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature
by: Zhou, Sijia, et al.
Published: (2024)
by: Zhou, Sijia, et al.
Published: (2024)
Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
by: Jarolím, Antonín, et al.
Published: (2025)
by: Jarolím, Antonín, et al.
Published: (2025)
Efficient slot labelling
by: Vlasov, Vladimir
Published: (2024)
by: Vlasov, Vladimir
Published: (2024)
Crafting In-context Examples according to LMs' Parametric Knowledge
by: Lee, Yoonsang, et al.
Published: (2023)
by: Lee, Yoonsang, et al.
Published: (2023)
Addressing cognitive bias in medical language models
by: Schmidgall, Samuel, et al.
Published: (2024)
by: Schmidgall, Samuel, et al.
Published: (2024)
Computational emotion analysis with multimodal LLMs: Current evidence on an emerging methodological opportunity
by: Licht, Hauke
Published: (2025)
by: Licht, Hauke
Published: (2025)
MIRIAD: Augmenting LLMs with millions of medical query-response pairs
by: Zheng, Qinyue, et al.
Published: (2025)
by: Zheng, Qinyue, et al.
Published: (2025)
LLMs left, right, and center: Assessing GPT's capabilities to label political bias from web domains
by: Hernandes, Raphael, et al.
Published: (2024)
by: Hernandes, Raphael, et al.
Published: (2024)
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling
by: Xie, Haojie, et al.
Published: (2024)
by: Xie, Haojie, et al.
Published: (2024)
Can pre-trained language models generate titles for research papers?
by: Rehman, Tohida, et al.
Published: (2024)
by: Rehman, Tohida, et al.
Published: (2024)
A foundation model for human-AI collaboration in medical literature mining
by: Wang, Zifeng, et al.
Published: (2025)
by: Wang, Zifeng, et al.
Published: (2025)
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English
by: Bäumler, Julian, et al.
Published: (2025)
by: Bäumler, Julian, et al.
Published: (2025)
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering
by: Nachane, Saeel Sandeep, et al.
Published: (2024)
by: Nachane, Saeel Sandeep, et al.
Published: (2024)
Multi-label Text Classification using GloVe and Neural Network Models
by: Wang, Hongren
Published: (2023)
by: Wang, Hongren
Published: (2023)
Approaches to Analysing Historical Newspapers Using LLMs
by: Dobranić, Filip, et al.
Published: (2026)
by: Dobranić, Filip, et al.
Published: (2026)
How well do LLMs cite relevant medical references? An evaluation framework and analyses
by: Wu, Kevin, et al.
Published: (2024)
by: Wu, Kevin, et al.
Published: (2024)
Multi-label Scandinavian Language Identification (SLIDE)
by: Fedorova, Mariia, et al.
Published: (2025)
by: Fedorova, Mariia, et al.
Published: (2025)
Uncertainty-aware abstention in medical diagnosis based on medical texts
by: Vazhentsev, Artem, et al.
Published: (2025)
by: Vazhentsev, Artem, et al.
Published: (2025)
Retrieval-augmented Encoders for Extreme Multi-label Text Classification
by: Wang, Yau-Shian, et al.
Published: (2025)
by: Wang, Yau-Shian, et al.
Published: (2025)
A Dual-Path Architecture for Scaling Compute and Capacity in LLMs
by: Frey, Markus, et al.
Published: (2026)
by: Frey, Markus, et al.
Published: (2026)
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
by: Wu, John, et al.
Published: (2024)
by: Wu, John, et al.
Published: (2024)
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
by: Hua, Yining, et al.
Published: (2022)
by: Hua, Yining, et al.
Published: (2022)
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
by: Kassem, Aly M., et al.
Published: (2024)
by: Kassem, Aly M., et al.
Published: (2024)
Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective
by: Xing, Jinming, et al.
Published: (2024)
by: Xing, Jinming, et al.
Published: (2024)
Entry-level guide to the use of large language models for medical research
by: Jin, Qiao, et al.
Published: (2024)
by: Jin, Qiao, et al.
Published: (2024)
70B-parameter large language models in Japanese medical question-answering
by: Sukeda, Issey, et al.
Published: (2024)
by: Sukeda, Issey, et al.
Published: (2024)
Large language models for automated scholarly paper review: A survey
by: Zhuang, Zhenzhen, et al.
Published: (2025)
by: Zhuang, Zhenzhen, et al.
Published: (2025)
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
by: Ye, Hui, et al.
Published: (2023)
by: Ye, Hui, et al.
Published: (2023)
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
by: Sabir, Ahmed, et al.
Published: (2026)
by: Sabir, Ahmed, et al.
Published: (2026)
Streamlining evidence based clinical recommendations with large language models
by: Li, Dubai, et al.
Published: (2025)
by: Li, Dubai, et al.
Published: (2025)
Urban Mobility Assessment Using LLMs
by: Bhandari, Prabin, et al.
Published: (2024)
by: Bhandari, Prabin, et al.
Published: (2024)
Your Extreme Multi-label Classifier is Secretly a Hierarchical Text Classifier for Free
by: Bertalis, Nerijus, et al.
Published: (2024)
by: Bertalis, Nerijus, et al.
Published: (2024)
Causality extraction from medical text using Large Language Models (LLMs)
by: Gopalakrishnan, Seethalakshmi, et al.
Published: (2024)
by: Gopalakrishnan, Seethalakshmi, et al.
Published: (2024)
Large language models are good medical coders, if provided with tools
by: Kwan, Keith
Published: (2024)
by: Kwan, Keith
Published: (2024)
Evaluating large language models in medical applications: a survey
by: Chen, Xiaolan, et al.
Published: (2024)
by: Chen, Xiaolan, et al.
Published: (2024)
Large language models management of medications: three performance analyses
by: Henry, Kelli, et al.
Published: (2025)
by: Henry, Kelli, et al.
Published: (2025)
Similar Items
-
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models
by: Salnikov, Mikhail, et al.
Published: (2025) -
Closing the gap between open-source and commercial large language models for medical evidence summarization
by: Zhang, Gongbo, et al.
Published: (2024) -
Performance of large language models in numerical vs. semantic medical knowledge: Benchmarking on evidence-based Q&As
by: Avnat, Eden, et al.
Published: (2024) -
Surrogate modeling for interpreting black-box LLMs in medical predictions
by: Han, Changho, et al.
Published: (2026) -
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature
by: Zhou, Sijia, et al.
Published: (2024)