Text Summarization

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8 papers in the last four weeks, up 33% on the four weeks before. 0.1% of all new papers.

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Faithful by Design: Evaluating and Improving LLM-Generated Clinical Trial Summaries for Multi-Stakeholder Audiences
Jul 10, 2026Robert WilliamsHallucination in Language Models Text Summarization
University of Texas at Austin Computer & Data Science Online Austin, Texas, USA
psytechlab at CLPsych 2026: Utilising Natural Language Processing methods and Large Language Models for Social Media Text Analysis
Jul 3, 2026Igor Buyanov, Nafisa Valieva, Ekaterina MazurinaSocial Media Analysis Text Summarization
Psytechlab
Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical Codebases
Jul 1, 2026Yongjian Tang, Ezgi Sarikayak, Doruk Tuncel +2Multi-Agent LLM Systems Software Engineering Agents
Siemens AG · Technical University of Munich · Munich, Bayern, Germany +2
When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
Jun 28, 2026Hoyoung Lee, Suhwan Park, Seunghan Lee +15LLM Compression LLM Auditing
UNIST · LinqAlpha · LG AI Research +9
A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs
Jun 26, 2026Aniket Deroy, Kripabandhu Ghosh, Saptarshi GhoshLegal NLP LLM Prompting
IIT Kharagpur India · IISER Kolkata India
Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning
Jun 24, 2026Poojitha Thota, Shirin NilizadehLLM Auditing LLM Fine-Tuning
The University of Texas at Arlington Arlington, Texas, USA
Optimizing Abstractive Summarization With Fine-Tuned PEGASUS
Jun 24, 2026Sadiul Arefin Rafi, Naimur Rahman, Kazi Nazibul Islam +2Text Summarization
BRAC University
Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning
Jun 24, 2026Yi Xiang, Chengzhi Zhang, Heng ZhangPrompt Learning Text Summarization
Department of Information Management, Nanjing University of Science and Technology, Nanjing, China
Less is More: Quality-Aware Training Data Selection for Scientific Summarization
Jun 23, 2026Maria Nefeli Paraskevopoulou, Tatiana Passali, Grigorios TsoumakasText Summarization Training Data Selection
School of Informatics Aristotle University of Thessaloniki Greece
A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization
Jun 17, 2026Vu Nguyen Nguyen Xuan, Huy Ngo QuangText Summarization Low-Resource Language Processing
Aimesoft JSC
ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement
Jun 17, 2026Bohou Zhang, Xiaoyu Tao, Mingyue Cheng +2LLM Self-Refinement Graph Retrieval-Augmented Generation
State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China
A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization
Jun 14, 2026Weixiao Zhou, Gengyao Li, Xianfu Cheng +3LLM Evaluation Long-Context Language Model Evaluation
CCSE, Beihang University · Fanyu AI Laboratory · MAIS, CASIA
NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning
Jun 11, 2026Feng Lyu, Huiqin Yan, Sijing Duan +5LLM Hallucination Mitigation Text Summarization
Central South University · Tsinghua University · Nanjing University +2
Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts
Jun 11, 2026Hao Zou, Zachary Horvitz, Chandhru Karthick +2Text Summarization Diffusion Language Models
Columbia University New York, NY, USA
ChartLens: A Dual-Branch Framework for Chart Data Correction and Factual Summary Refinement
Jun 9, 2026Hao Liu, Ruping Cao, Kun Wang +4Document Information Extraction Chart Data Extraction
1Shandong University · 2Southeast University · 3Harbin Institute of Technology (Shenzhen)
CARE: A Conformal Safety Layer for Medical Summarization
Jun 8, 2026Suhana Bedi, Bridget Lin, Anson Y. Zhou +5Text Summarization Conformal Risk Control
Department of Biomedical Data Science, Stanford University · Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University · Department of Computer Science, Stanford University +2
Multilingual Sentiment Aware Text Summarization A Reinforcement Learning Approach for Consistency Maintenance
Jun 8, 2026Mikhail Krasitskii, Alexander Gelbukh, Olga Kolesnikova +1LLM Alignment Text Summarization
Instituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico City, Mexico
Segment-level Tree Search for Long Meeting Document Summarization
Jun 7, 2026Sangwon Ryu, Heejin Do, Jun Seo +4Monte Carlo Tree Search Text Summarization
GSAI, POSTECH · ETH Zurich, ETH AI Center · Agentic AI Lab, KT +2
Summarization is Not Dead Yet
Jun 6, 2026Dongqi Liu, Chenxi Whitehouse, Zheng Zhao +3LLM Evaluation Text Summarization
Saarland University, Max Planck Institute for Informatics · Tencent YouTu Research · University of Cambridge +2
A Multi-Model Metric-based Selection Framework for Abstractive Text summarization
Jun 3, 2026Ahmed Alansary, Ali HamdiText Summarization Language Model Ensembles
Faculty of Computer Science · MSA University · Giza, Egypt
Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison
Jun 3, 2026Alejandro Lozano, Keiko Ihara, Ping-Hao Yang +13Text Summarization RAG Evaluation
Stanford University, Palo Alto, CA, USA · Department of Neurology, Mayo Clinic, Rochester, MN, USA · Department of Neurology, Dalhousie University, Halifax, Canada +8
From 'What' to 'How' and 'Why': Sharing LLM-Generated Retrospective Summaries of Older Adults' Passive Tracking Data with Remote Family Members
Jun 2, 2026Jiachen Li, Reina Szeyi Chan, Akshat Choube +3Multi-Agent LLM Systems Healthcare
Northeastern University, Boston, MA, USA
A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs
Jun 2, 2026Cuong Vuong Tuan, Trang Mai Xuan, Tien-Cuong Nguyen +2Multi-Agent LLM Systems Text Summarization
Faculty of Artificial Intelligence and Data Science, Phenikaa University, Duong Noi, Ha Noi, Viet Nam · VNPT AI, VNPT Group, Ha Noi, Viet Nam · MobiFone Research and Development Center, MobiFone Corporation, Ha Noi, Viet Nam +1
Understanding LLM Behavior in Multi-Target Cross-Lingual Summarization
May 31, 2026Sangwon Ryu, Yihong Liu, Mingyang Wang +4Multilingual Language Model Evaluation Text Summarization
GSAI, POSTECH · LMU Munich · MCML +2
Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding
May 28, 2026Riza Setiawan Soetedjo, Yusuke Sakai, Hidetaka Kamigaito +3MBR Decoding Text Summarization
Nara Institute of Science and Technology (NAIST) · Chungnam National University · Institute of Science Tokyo
Hallucination Detection-Guided Preference Optimization for Clinical Summarization
May 27, 2026Shamanth Kuthpadi Seethakantha, Dung Ngoc Thai, Vara Prasad Gudi +6LLM Self-Refinement LLM Hallucination Mitigation
1Manning College of Information and Computer Sciences · 2Ensemble HP · 3Columbia University +1
Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
May 27, 2026Bushi Xiao, Sarvesh Soni, Daisy Zhe WangText Summarization LLM Uncertainty Estimation
University of Florida Gainesville, FL · U.S. National Library of Medicine Bethesda, MD
Enhancing BiGRU with a KAN Block for Legal Document Classification and Summarization
May 27, 2026Ahmed Faizul Haque Dhrubo, Souvik Pramanik, Most. Aysha Siddika Sumona +4Recurrent Neural Networks Text Summarization
Dept. of ECE North South University, Dhaka, Bangladesh
Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
May 26, 2026Mingyue Wang, Xingyu Xie, Hang Yang +5Temporal IR Text Summarization
Baidu Inc. Beijing, China
Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
May 26, 2026Yuxuan Ye, Raul Santos-Rodriguez, Edwin SimpsonFactual Consistency Evaluation Text Summarization
Intelligent System Laboratory University of Bristol United Kingdom

Jul 10, 2026, cs.CLJ/K move · Enter open · S save

Faithful by Design: Evaluating and Improving LLM-Generated Clinical Trial Summaries for Multi-Stakeholder Audiences

Robert Williams

University of Texas at Austin Computer & Data Science Online Austin, Texas, USA

Hallucination in Language Models Text Summarization RAG Evaluation Clinical Language Model Evaluation

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Large language models are increasingly used to summarize clinical trial results for healthcare providers, patients, and payers, but their tendency to hallucinate poses significant risks in this high-stakes context. This study introduces a benchmark evaluation framework for measuring the faithfulness of LLM-generated clinical trial summaries across three stakeholder audiences. The framework consists of 200 stratified trials drawn from the Aggregate Analysis of ClinicalTrials.gov database, evaluated using audience-specific prompt templates and a six-dimension faithfulness annotation schema. Baseline measurements were established for GPT-4o, Claude Sonnet 4.6, and Gemini 2.5 Flash across 1,800 generated summaries scored using a cross-encoder natural language inference (NLI) model. Unsupported Claims was identified as the dominant failure mode across all three models, with a mean annotation score of 1.55 out of three. A knowledge-graph-augmented retrieval system was developed and evaluated against the baseline, producing statistically significant improvements in NLI-based faithfulness scores (entailment +0.0125, faithfulness +0.0130, p < 0.0001). Improvement pathways were model-dependent, with GPT-4o improving primarily through contradiction reduction while Claude Sonnet 4.6 and Gemini 2.5 Flash improved through increased entailment.

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