Self-Verification Improves Few-Shot Clinical Information Extraction

30 May 2023

Papers citing "Self-Verification Improves Few-Shot Clinical Information Extraction"

43 / 43 papers shown

Title
MedDCR: Learning to Design Agentic Workflows for Medical Coding Jiyang Zheng Islam Nassar Thanh Tien Vu Xu Zhong Yang Lin Tongliang Liu Long Duong Yuan-Fang Li MedIm 74 0 0 17 Nov 2025
Co-Sight: Enhancing LLM-Based Agents via Conflict-Aware Meta-Verification and Trustworthy Reasoning with Structured Facts Hongwei Zhang Ji Lu Shiqing Jiang Chenxiang Zhu Li Xie ... Baoyu Tang Lingjun Huang Baoli Wang Fang Tan Peng Zou LRM 78 1 0 24 Oct 2025
Code Like Humans: A Multi-Agent Solution for Medical Coding Andreas Geert Motzfeldt Joakim Edin Casper L. Christensen Christian Hardmeier Lars Maaløe Anna Rogers 157 0 0 04 Sep 2025
A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of HealthCommunications Medicine (Commun. Med.), 2025 Song Wang Yishu Wei Haotian Ma Max Lovitt Kelly Deng ... Yunyu Xiao Ying Ding Xuhai Xu Joydeep Ghosh Yifan Peng 33 0 0 07 Aug 2025
How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? Sohee Yang Sang-Woo Lee Nora Kassner Daniela Gottesman Sebastian Riedel Mor Geva LRM 293 4 0 12 Jun 2025
Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation Giacomo Baldan Qiang Liu Alberto Guardone Nils Thuerey AI4CE 129 8 0 10 Jun 2025
Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations Atanu Barai S. Eidenbenz N. Santhi 140 0 0 28 May 2025
CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis Shaohao Rui Haoyang Su Jinyi Xiang Lian-Ming Wu Xiaosong Wang 132 2 0 25 May 2025
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Adrián Bazaga Rexhina Blloshmi Bill Byrne Adria de Gispert ReLM LRM 282 4 0 07 Apr 2025
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent CollaborationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 David Wan Justin Chih-Yao Chen Elias Stengel-Eskin Joey Tianyi Zhou LLMAG LRM 209 5 0 19 Mar 2025
Dataset Featurization: Uncovering Natural Language Features through Unsupervised Data Reconstruction Michal Bravansky Vaclav Kubon Suhas Hariharan Robert Kirk 289 2 0 24 Feb 2025
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition FrameworkNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Reza Averly Xia Ning 328 3 0 21 Feb 2025
SELU: Self-Learning Embodied MLLMs in Unknown Environments Boyu Li Haobin Jiang Haobin Jiang Weishuai Zeng Haoran Li Dongbin Zhao Zongqing Lu LRM 158 6 0 04 Oct 2024
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning Di Zhang Jianbo Wu Jingdi Lei Tong Che Jiatong Li ... Shufei Zhang Marco Pavone Yuqiang Li Wanli Ouyang Dongzhan Zhou LRM 163 88 0 03 Oct 2024
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text GenerationAAAI Conference on Artificial Intelligence (AAAI), 2024 Han He Qianchu Liu Lei Xu Chaitanya P. Shivade Yi Zhang S. Srinivasan Katrin Kirchhoff 306 6 0 03 Oct 2024
Data Analysis in the Era of Generative AI J. Inala Chenglong Wang Steven Drucker Gonzalo Ramos Victor C. Dibia N. Riche Dave Brown Dan Marshall Jianfeng Gao 185 15 0 27 Sep 2024
CACER: Clinical Concept Annotations for Cancer Events and Relations Yujuan Fu Giridhar Kaushik Ramachandran Ahmad Halwani Bridget T. McInnes Fei Xia K. Lybarger Meliha Yetisgen Özlem Uzuner 149 3 0 05 Sep 2024
An Empirical Study on Self-correcting Large Language Models for Data Science Code Generation Thai Tang Quoc Duc Ha Minh Tho Quan Thanh Anh Nguyen-Duc LRM 240 3 0 28 Aug 2024
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study Jiajun Sun Haoxiang Jia Shenxi Wu Huiyuan Zheng Muling Wu ... Ming-bo Wen Yuhao Zhou Y. Wu Rui Zheng Ming-bo Wen 229 66 0 08 Jul 2024
Learning to Refine with Fine-Grained Natural Language Feedback Manya Wadhwa Xinyu Zhao Junyi Jessy Li Greg Durrett 416 25 0 02 Jul 2024
Large Language Models have Intrinsic Self-Correction Ability Dancheng Liu Amir Nassereldine Ziming Yang Chenhui Xu Yuting Hu Jiajie Li Utkarsh Kumar Changjae Lee Jinjun Xiong KELM ReLM LRM 188 30 0 21 Jun 2024
Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent Debate Framework Xiaoxi Sun Jinpeng Li Yan Zhong Dongyan Zhao Rui Yan LLMAG HILM 188 17 0 05 Jun 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs Ryo Kamoi Yusen Zhang Nan Zhang Jiawei Han Rui Zhang LRM 324 143 0 03 Jun 2024
GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases Zhizheng Wang Qiao Jin Chih-Hsuan Wei Shubo Tian Po-Ting Lai Qingqing Zhu Chi-Ping Day Christina Ross Zhiyong Lu LLMAG 165 9 0 25 May 2024
A Survey on Self-Evolution of Large Language Models Zhengwei Tao Ting-En Lin Xiancai Chen Hangyu Li Yuchuan Wu Yongbin Li Zhi Jin Fei Huang Dacheng Tao Jingren Zhou LRM LM&Ro 268 45 0 22 Apr 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents Liyan Tang Philippe Laban Greg Durrett HILM SyDa 255 160 0 16 Apr 2024
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods Yujuan Fu Giridhar Kaushik Ramachandran Nicholas J. Dobbins Namu Park Michael Leu Abby R. Rosenberg K. Lybarger Fei Xia Özlem Uzuner Meliha Yetisgen 232 6 0 31 Mar 2024
On-the-fly Definition Augmentation of LLMs for Biomedical NER Monica Munnangi Sergey Feldman Byron C. Wallace Silvio Amir Kyle Lo Aakanksha Naik 287 20 0 29 Mar 2024
Large Language Models in Biomedical and Health Informatics: A Bibliometric Review Huizi Yu Lizhou Fan Jinkui Chi Jiayan Zhou Zihui Ma ... Sijia He Haoyang Ling Yongfeng Zhang Ashvin Gandhi Xin Ma LM&MA 314 2 0 24 Mar 2024
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries Zelalem Gero Chandan Singh Yiqing Xie Sheng Zhang Tristan Naumann Jianfeng Gao Hoifung Poon ELM ALM 169 7 0 01 Mar 2024
Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models Che Zhang Zhenyang Xiao Chengcheng Han Yixin Lian Yuejian Fang LRM 176 0 0 20 Feb 2024
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models Loka Li Zhenhao Chen Guan-Hong Chen Yixuan Zhang Yusheng Su Eric P. Xing Kun Zhang LRM 257 33 0 19 Feb 2024
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement Xin Quan Marco Valentino Louise A. Dennis André Freitas LRM 132 17 0 01 Feb 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 220 101 0 30 Jan 2024
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-TalkAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Dennis Ulmer Elman Mansimov Kaixiang Lin Justin Sun Xibin Gao Yi Zhang LLMAG 191 37 0 10 Jan 2024
Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows Madeleine Grunde-McLaughlin Michelle S. Lam Ranjay Krishna Daniel S. Weld Jeffrey Heer AI4CE 256 25 0 18 Dec 2023
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine Harsha Nori Yin Tat Lee Sheng Zhang Dean Carignan Richard Edgar ... Hoifung Poon Tao Qin Naoto Usuyama Chris White Eric Horvitz LM&MA AI4MH MedIm ELM 217 424 0 28 Nov 2023
Surpassing GPT-4 Medical Coding with a Two-Stage Approach Zhichao Yang S. S. Batra Joel Stremmel Eran Halperin ELM 218 10 0 22 Nov 2023
Sentiment Analysis through LLM Negotiations Xiaofei Sun Xiaoya Li Shengyu Zhang Shuhe Wang Leilei Gan Jiwei Li Tianwei Zhang Guoyin Wang 155 29 0 03 Nov 2023
The Generative AI Paradox: "What It Can Create, It May Not Understand"International Conference on Learning Representations (ICLR), 2023 Peter West Ximing Lu Nouha Dziri Faeze Brahman Linjie Li ... Khyathi Chandu Benjamin Newman Pang Wei Koh Allyson Ettinger Yejin Choi AIMat 226 103 0 31 Oct 2023
Let's reward step by step: Step-Level reward model as the Navigators for Reasoning Qianli Ma Haotian Zhou Tingkai Liu Jianbo Yuan Pengfei Liu Yang You Hongxia Yang LRM 174 78 0 16 Oct 2023
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies Liangming Pan Michael Stephen Saxon Wenda Xu Deepak Nathani Xinyi Wang William Yang Wang KELM LRM 299 261 0 06 Aug 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.9K 19,183 0 16 Feb 2016