Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration | Paper Citation Record

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This paper cites Automated clinical coding using off-the-shelf large language models.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Automated clinical coding using off-the-shelf large language models

Reference 1

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This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 2

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This paper cites Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission

Reference 3

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This paper cites Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities

Reference 4

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Don't do rag: When cache-augmented generation is all you need for knowledge tasks

Reference 5

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This paper cites Hiddencut: Simple data augmentation for natural language understanding with better generalizability.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Hiddencut: Simple data augmentation for natural language understanding with better generalizability

Reference 6

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration An empirical survey of data augmentation for limited data learning in nlp

Reference 7

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This paper cites Robust neural machine translation with doubly adversarial inputs.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Robust neural machine translation with doubly adversarial inputs

Reference 8

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This paper cites Peer pressure: Model-to-model regularization for single source domain generalization.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Peer pressure: Model-to-model regularization for single source domain generalization

Reference 9

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This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 10

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Auggpt: Leveraging chatgpt for text data augmentation

Reference 11

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This paper cites Effective hospital readmission prediction models using machine-learned features.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Effective hospital readmission prediction models using machine-learned features

Reference 12

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This paper cites Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

Reference 13

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This paper cites Data augmentation using llms: Data perspectives, learning paradigms and challenges.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Data augmentation using llms: Data perspectives, learning paradigms and challenges

Reference 14

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This paper cites Causal inference in natural language processing: Estimation, prediction, interpretation and beyond.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Causal inference in natural language processing: Estimation, prediction, interpretation and beyond

Reference 15

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Data augmentations for improved (large) language model generalization

Reference 16

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This paper cites A Survey of Data Augmentation Approaches for NLP.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration A Survey of Data Augmentation Approaches for NLP

Reference 17

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This paper cites Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach

Reference 18

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This paper cites Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Reference 19

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This paper cites How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization

Reference 20

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This paper cites The Llama 3 Herd of Models.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration The Llama 3 Herd of Models

Reference 21

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 23

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Health system-scale language models are all-purpose prediction engines

Reference 24

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Mimic-iii, a freely accessible critical care database

Reference 25

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This paper cites Risk prediction models for hospital readmission: a systematic review.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Risk prediction models for hospital readmission: a systematic review

Reference 26

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This paper cites Machine learning-based in-hospital mortality prediction models for patients with acute coronary syndrome.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Machine learning-based in-hospital mortality prediction models for patients with acute coronary syndrome

Reference 27

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Key challenges for delivering clinical impact with artificial intelligence

Reference 28

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Medical hallucinations in foundation models and their impact on healthcare

Reference 29

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This paper cites Biobert: a pre-trained biomedical language representation model for biomedical text mining.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Biobert: a pre-trained biomedical language representation model for biomedical text mining

Reference 30

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 31

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Empowering Large Language Models for Textual Data Augmentation

Reference 32

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Benchmarking generation and evaluation capabilities of large language models for instruction controllable summarization

Reference 33

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Improving the robustness and accuracy of biomedical language models through adversarial training

Reference 34

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Explainable Prediction of Medical Codes from Clinical Text

Reference 35

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Large language models in healthcare and medical domain: A review

Reference 36

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration On the impact of data augmentation on downstream performance in natural language processing

Reference 37

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation

Reference 38

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training

Reference 39

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 40

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model

Reference 41

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Large-scale application of named entity recognition to biomedicine and epidemiology

Reference 42

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Chatgpt and other large language models are double-edged swords, 2023

Reference 43

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration A unified framework of data augmentation using large language models for text-based cross-modal retrieval

Reference 44

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Rag-hat: A hallucination-aware tuning pipeline for llm in retrieval-augmented generation

Reference 45

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Llm-check: Investigating detection of hallucinations in large language models

Reference 46

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation

Reference 47

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This paper cites A systematic review of the prediction of hospital length of stay: Towards a unified framework.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration A systematic review of the prediction of hospital length of stay: Towards a unified framework

Reference 48

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration

Reference 49

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 50

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Cheap and good? simple and effective data augmentation for low resource machine reading

Reference 51

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This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 52

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Qwen3 Technical Report

Reference 53

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Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration A large language model for electronic health records

Reference 54

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This paper cites LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Reference 55

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Observation 8b39dbcf-3062-4c41-94d4-3cd1aea19985 · outbound

This paper cites GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.393213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8435148-f6b2-438a-ae2e-95c2993c3c7e · outbound

This paper cites Large language model as attributed training data generator: A tale of diversity and bias.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Large language model as attributed training data generator: A tale of diversity and bias

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:49:29.092338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33031ff4-8ceb-40df-b089-7aaeac825e1b · outbound

This paper cites A General Knowledge Injection Framework for ICD Coding.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration A General Knowledge Injection Framework for ICD Coding

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:49:28.614196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5dc5045-6995-43ce-9a5e-4f77f4288a12 · outbound

This paper cites FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.408125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003f8e97-b7bf-474c-a2f9-98c932345522 · outbound

This paper cites Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.412404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5def2e3-89f4-438e-aee7-0d74406d900c · outbound

This paper cites Explore spurious correlations at the concept level in language models for text classification.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Explore spurious correlations at the concept level in language models for text classification

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.416482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff84f913-ce78-4ea9-90bb-82b37f953f7f · outbound

This paper cites write newline.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration write newline

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.420159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8016370-20a6-4c6c-8b8c-c19f2fb2c3f7 · outbound

This paper cites @esa (Ref.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration @esa (Ref

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.424543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb16b6b-599c-4bb7-b8d9-04ac3676ab1c · outbound

This paper cites an unresolved cited work.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.429006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3270104d-f0fb-47d9-a432-358c4fa69a7a · outbound

This paper cites weak expert.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration weak expert

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:28.432984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers