:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Jinghui, Nguyen, Anthony
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.17755
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthetic Clinical Notes for Rare ICD Codes: A Data-Centric Framework for Long-Tail Medical Coding
by: Vo, Truong, et al.
Published: (2025)

Enhancing Rare Codes via Probability-Biased Directed Graph Attention for Long-Tail ICD Coding
by: Chen, Tianlei, et al.
Published: (2025)

MKE-Coder: Multi-Axial Knowledge with Evidence Verification in ICD Coding for Chinese EMRs
by: You, Xinxin, et al.
Published: (2025)

A General Knowledge Injection Framework for ICD Coding
by: Zhang, Xu, et al.
Published: (2025)

TraceCoder: Towards Traceable ICD Coding via Multi-Source Knowledge Integration
by: Ren, Mucheng, et al.
Published: (2025)

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale
by: Liu, Jinghui, et al.
Published: (2026)

RuCCoD: Towards Automated ICD Coding in Russian
by: Nesterov, Aleksandr, et al.
Published: (2025)

CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
by: Luo, Junyu, et al.
Published: (2024)

From Documents to Spans: Scalable Supervision for Evidence-Based ICD Coding with LLMs
by: Zhang, Xu, et al.
Published: (2026)

Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs
by: Li, Mingyang, et al.
Published: (2025)

Accurate and Well-Calibrated ICD Code Assignment Through Attention Over Diverse Label Embeddings
by: Gomes, Gonçalo, et al.
Published: (2024)

Unlocking Public Catalogues: Instruction-Tuning LLMs for ICD Coding of German Tumor Diagnoses
by: Lenz, Stefan, et al.
Published: (2025)

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
by: Liu, Xiangyan, et al.
Published: (2024)

BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR
by: Jeon, Jangyeong, et al.
Published: (2024)

Training with Pseudo-Code for Instruction Following
by: Kumar, Prince, et al.
Published: (2025)

Cautious Optimizers: Improving Training with One Line of Code
by: Liang, Kaizhao, et al.
Published: (2024)

Improving ICD coding using Chapter based Named Entities and Attentional Models
by: Beeravolu, Abhijith R., et al.
Published: (2024)

Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
by: Trung, Bui The, et al.
Published: (2026)

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
by: Xu, Haolei, et al.
Published: (2025)

Improving Code Generation by Training with Natural Language Feedback
by: Chen, Angelica, et al.
Published: (2023)

Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance
by: Zheng, Weihua, et al.
Published: (2026)

Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering
by: Christian, William, et al.
Published: (2025)

Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2023)

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
by: Li, Junlong, et al.
Published: (2025)

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
by: Jiang, Xue, et al.
Published: (2025)

Improved GUI Grounding via Iterative Narrowing
by: Nguyen, Anthony
Published: (2024)

PerfCodeGen: Improving Performance of LLM Generated Code with Execution Feedback
by: Peng, Yun, et al.
Published: (2024)

Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
by: Vijayaraghavan, Prashanth, et al.
Published: (2025)

Training Language Models to Generate Quality Code with Program Analysis Feedback
by: Yao, Feng, et al.
Published: (2025)

Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions
by: Liu, Zhe, et al.
Published: (2025)

CodeGemma: Open Code Models Based on Gemma
by: CodeGemma Team, et al.
Published: (2024)

CodeS: Natural Language to Code Repository via Multi-Layer Sketch
by: Zan, Daoguang, et al.
Published: (2024)

Verification Limits Code LLM Training
by: Gureja, Srishti, et al.
Published: (2025)

R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
by: Chen, Yongchao, et al.
Published: (2025)

Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2024)

Code Pretraining Improves Entity Tracking Abilities of Language Models
by: Kim, Najoung, et al.
Published: (2024)

Code Sharing In Prediction Model Research: A Scoping Review
by: Sounack, Thomas, et al.
Published: (2026)

Code Broker: A Multi-Agent System for Automated Code Quality Assessment
by: Attrah, Samer
Published: (2026)

Coding Triangle: How Does Large Language Model Understand Code?
by: Zhang, Taolin, et al.
Published: (2025)

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
by: Wahed, Muntasir, et al.
Published: (2025)