De Jure: Iterative LLM Self-Refinement for Structured Extraction of Regulatory Rules
Fuente:
arXiv
Saved in:
| Main Authors: | Guliani, Keerat, Gill, Deepkamal, Landsman, David, Eshraghi, Nima, Kumar, Krishna, Gondara, Lovedeep |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ELM: A Hybrid Ensemble of Language Models for Automated Tumor Group Classification in Population-Based Cancer Registries
by: Gondara, Lovedeep, et al.
Published: (2025)
by: Gondara, Lovedeep, et al.
Published: (2025)
Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry
by: Gondara, Lovedeep, et al.
Published: (2025)
by: Gondara, Lovedeep, et al.
Published: (2025)
Leveraging Language Models for Automated Patient Record Linkage
by: Beheshti, Mohammad, et al.
Published: (2025)
by: Beheshti, Mohammad, et al.
Published: (2025)
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare
by: Gondara, Lovedeep, et al.
Published: (2025)
by: Gondara, Lovedeep, et al.
Published: (2025)
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
by: Fang, Yushen, et al.
Published: (2025)
by: Fang, Yushen, et al.
Published: (2025)
Spontaneous Reward Hacking in Iterative Self-Refinement
by: Pan, Jane, et al.
Published: (2024)
by: Pan, Jane, et al.
Published: (2024)
Iterative Critique-Refine Framework for Enhancing LLM Personalization
by: Maram, Durga Prasad, et al.
Published: (2025)
by: Maram, Durga Prasad, et al.
Published: (2025)
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
by: Jalori, Gunjan, et al.
Published: (2025)
by: Jalori, Gunjan, et al.
Published: (2025)
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
by: Xu, Wenda, et al.
Published: (2024)
by: Xu, Wenda, et al.
Published: (2024)
LLM driven Text-to-Table Generation through Sub-Tasks Guidance and Iterative Refinement
by: C, Rajmohan, et al.
Published: (2025)
by: C, Rajmohan, et al.
Published: (2025)
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
by: Ye, Liqin, et al.
Published: (2025)
by: Ye, Liqin, et al.
Published: (2025)
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
WiCER: Wiki-memory Compile, Evaluate, Refine Iterative Knowledge Compilation for LLM Wiki Systems
by: Huerta, Juan M.
Published: (2026)
by: Huerta, Juan M.
Published: (2026)
Database Normalization via Dual-LLM Self-Refinement
by: Jo, Eunjae, et al.
Published: (2025)
by: Jo, Eunjae, et al.
Published: (2025)
Dynamic Alignment for Collective Agency: Toward a Scalable Self-Improving Framework for Open-Ended LLM Alignment
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
by: Anantaprayoon, Panatchakorn, et al.
Published: (2025)
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
by: Ferraz, Thomas Palmeira, et al.
Published: (2024)
by: Ferraz, Thomas Palmeira, et al.
Published: (2024)
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
by: Yu, Simon, et al.
Published: (2024)
by: Yu, Simon, et al.
Published: (2024)
AIR: Complex Instruction Generation via Automatic Iterative Refinement
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
OSCAR: Orchestrated Self-verification and Cross-path Refinement
by: Shah, Yash, et al.
Published: (2026)
by: Shah, Yash, et al.
Published: (2026)
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
by: Feng, Zhaopeng, et al.
Published: (2024)
by: Feng, Zhaopeng, et al.
Published: (2024)
RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation
by: Zhou, Changzhi, et al.
Published: (2025)
by: Zhou, Changzhi, et al.
Published: (2025)
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)
by: Xiong, Weimin, et al.
Published: (2024)
Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
by: Vertsel, Aliaksei, et al.
Published: (2024)
by: Vertsel, Aliaksei, et al.
Published: (2024)
Reveal and Release: Iterative LLM Unlearning with Self-generated Data
by: Xie, Linxi, et al.
Published: (2025)
by: Xie, Linxi, et al.
Published: (2025)
A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting
by: Gondara, Lovedeep, et al.
Published: (2024)
by: Gondara, Lovedeep, et al.
Published: (2024)
SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment
by: Ai, Wei, et al.
Published: (2024)
by: Ai, Wei, et al.
Published: (2024)
Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
by: Liu, Zhenhua, et al.
Published: (2025)
by: Liu, Zhenhua, et al.
Published: (2025)
Iterative Prompt Refinement for Dyslexia-Friendly Text Summarization Using GPT-4o
by: Bhojwani, Samay, et al.
Published: (2026)
by: Bhojwani, Samay, et al.
Published: (2026)
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation
by: Deroy, Aniket, et al.
Published: (2025)
by: Deroy, Aniket, et al.
Published: (2025)
Scaling Open-Weight Large Language Models for Hydropower Regulatory Information Extraction: A Systematic Analysis
by: Yoon, Hong-Jun, et al.
Published: (2025)
by: Yoon, Hong-Jun, et al.
Published: (2025)
CoRefine: Confidence-Guided Self-Refinement for Adaptive Test-Time Compute
by: Jin, Chen, et al.
Published: (2026)
by: Jin, Chen, et al.
Published: (2026)
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
by: Pei, Aihua, et al.
Published: (2024)
by: Pei, Aihua, et al.
Published: (2024)
Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
by: Tsai, Yu-Che, et al.
Published: (2025)
by: Tsai, Yu-Che, et al.
Published: (2025)
SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction
by: Števaňák, David, et al.
Published: (2026)
by: Števaňák, David, et al.
Published: (2026)
LLM-based Translation Inference with Iterative Bilingual Understanding
by: Chen, Andong, et al.
Published: (2024)
by: Chen, Andong, et al.
Published: (2024)
Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)
by: Wang, Qibin, et al.
Published: (2025)
What's Wrong? Refining Meeting Summaries with LLM Feedback
by: Kirstein, Frederic, et al.
Published: (2024)
by: Kirstein, Frederic, et al.
Published: (2024)
Iterative Experience Refinement of Software-Developing Agents
by: Qian, Chen, et al.
Published: (2024)
by: Qian, Chen, et al.
Published: (2024)
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022)
by: Lopardo, Gianluigi, et al.
Published: (2022)
Diagnosing Structural Failures in LLM-Based Evidence Extraction for Meta-Analysis
by: Tan, Zhiyin, et al.
Published: (2026)
by: Tan, Zhiyin, et al.
Published: (2026)
Similar Items
-
ELM: A Hybrid Ensemble of Language Models for Automated Tumor Group Classification in Population-Based Cancer Registries
by: Gondara, Lovedeep, et al.
Published: (2025) -
Bridging AI Innovation and Healthcare Needs: Lessons Learned from Incorporating Modern NLP at The BC Cancer Registry
by: Gondara, Lovedeep, et al.
Published: (2025) -
Leveraging Language Models for Automated Patient Record Linkage
by: Beheshti, Mohammad, et al.
Published: (2025) -
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare
by: Gondara, Lovedeep, et al.
Published: (2025) -
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
by: Fang, Yushen, et al.
Published: (2025)