Cover Image

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mishra, Prakamya, Yao, Zonghai, Vashisht, Parth, Ouyang, Feiyun, Wang, Beining, Mody, Vidhi Dhaval, Yu, Hong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Summarization with Human Edits
by: Yao, Zonghai, et al.
Published: (2023)

MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
by: Yao, Zonghai, et al.
Published: (2024)

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation
by: Yao, Zonghai, et al.
Published: (2023)

SummExecEdit: A Factual Consistency Benchmark in Summarization with Executable Edits
by: Thorat, Onkar, et al.
Published: (2024)

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
by: Yao, Zonghai, et al.
Published: (2025)

ISQA: Informative Factuality Feedback for Scientific Summarization
by: Li, Zekai, et al.
Published: (2024)

MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills
by: Yao, Zonghai, et al.
Published: (2024)

UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
by: Vashisht, Parth, et al.
Published: (2024)

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
by: Tran, Hieu, et al.
Published: (2025)

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
by: Wang, Benlu, et al.
Published: (2025)

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes
by: Wang, Junda, et al.
Published: (2023)

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs in Medicine
by: Huang, Jiatan, et al.
Published: (2024)

Exploiting Tree Structure for Credit Assignment in RL Training of LLMs
by: Tran, Hieu, et al.
Published: (2025)

EHR Interaction Between Patients and AI: NoteAid EHR Interaction
by: Zhang, Xiaocheng, et al.
Published: (2023)

Medical thinking with multiple images
by: Yao, Zonghai, et al.
Published: (2026)

EditPropBench: Measuring Factual Edit Propagation in Scientific Manuscripts
by: Kruthof, Garvin
Published: (2026)

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs
by: Zhang, Taolin, et al.
Published: (2025)

Large Language Models are In-context Teachers for Knowledge Reasoning
by: Zhao, Jiachen, et al.
Published: (2023)

Agent-as-Judge for Factual Summarization of Long Narratives
by: Jeong, Yeonseok, et al.
Published: (2025)

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
by: Feng, Huawen, et al.
Published: (2023)

SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and Answers
by: Manem, Chaitanya, et al.
Published: (2025)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability
by: Wang, Junda, et al.
Published: (2024)

ReadCtrl: Personalizing text generation with readability-controlled instruction learning
by: Tran, Hieu, et al.
Published: (2024)

TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games
by: Mishra, Prakamya, et al.
Published: (2025)

mFACE: Multilingual Summarization with Factual Consistency Evaluation
by: Aharoni, Roee, et al.
Published: (2022)

Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization
by: Zhang, Yue, et al.
Published: (2024)

Edisum: Summarizing and Explaining Wikipedia Edits at Scale
by: Šakota, Marija, et al.
Published: (2024)

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
by: Machcha, Sravanthi, et al.
Published: (2026)

SynthEHR-Eviction: Enhancing Eviction SDoH Detection with LLM-Augmented Synthetic EHR Data
by: Yao, Zonghai, et al.
Published: (2025)

On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization
by: Flores, Lorenzo Jaime Yu, et al.
Published: (2024)

Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction
by: Li, Mingchen, et al.
Published: (2026)

Blocks Architecture (BloArk): Efficient, Cost-Effective, and Incremental Dataset Architecture for Wikipedia Revision History
by: Li, Lingxi, et al.
Published: (2024)

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
by: Joseph, Sebastian Antony, et al.
Published: (2024)

FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness
by: Dong, Xiaoning, et al.
Published: (2026)

Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising
by: Shahane, Aditya Hemant, et al.
Published: (2026)

BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization
by: Rafid, Ahmed, et al.
Published: (2026)

AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
by: Qiu, Haoyi, et al.
Published: (2023)

MR-Align: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models
by: Wang, Xinming, et al.
Published: (2025)

Stress Testing Factual Consistency Metrics for Long-Document Summarization
by: Mujahid, Zain Muhammad, et al.
Published: (2025)