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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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Vectors Are Not Neutral: Sensitive-Information Inference from Exported LLM Representations in Summarization
May 26, 2026Weixin Liu, Bowen Qu, Juming Xiong +3LLM Auditing Privacy Leakage in Language Models
Vanderbilt University · Vanderbilt University Medical Center
The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology
May 25, 2026Jason Holmes, Federico Mastroleo, Mariana Borras-Osorio +17Healthcare Clinical Decision Support
Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States · Division of Radiation Oncology, IEO, European Institute of Oncology, IRCCS, Milan, Italy · Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy +2
Privacy-Preserving Local Language Models for Longitudinal Data Retrieval in Chronic Dermatologic Disease: Implementation in Pemphigus Patients
May 24, 2026Abdurrahim Yilmaz, Ayşe Esra Koku Aksu, Duygu Yamen +5Privacy-Preserving Language Models Healthcare
Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London · Department of Dermatology and Venereology, Istanbul Research and Training Hospital · Department of Dermatology and Venereology, Istanbul Medeniyet University +1
CUNY at CLPsych 2026: A Pipeline Approach to Classification and Summarization of Mental Health Changes
May 22, 2026Amirmohammad Ziaei Bideh, Shameed Charlomar Job, Ava Yahyapour +1Mental Health Text Summarization
Computer Science Department, CUNY Graduate Center · Linguistics Department, CUNY Graduate Center
Empirical Analysis and Detection of Hallucinations in LLM-Generated Bug Report Summaries
May 22, 2026Hinduja Nirujan, Shreyas Patil, Abdallah Ayoub +2Software Engineering Text Summarization
Electrical and Software Engineering University of Calgary Calgary, Alberta, Canada
EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization
May 22, 2026Chaitanya Wanjari, Jessica Kamal, Riddhi Jain +2Social Media Analysis Algorithmic Fairness
ABV IIITM Gwalior, India
DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
May 21, 2026Maryia Zhyrko, Daisy Monika Lal, Erik van Mulligen +1Social Media Analysis Mental Health
Leiden Institute of Advanced Computer Science (LIACS), Leiden University, NL · School of Computing and Communications (SCC), Lancaster University, UK · Department of Medical Informatics, Erasmus University Medical Center Rotterdam, NL +1
Divide-Prompt-Refine: a Training-Free, Structure-Aware Framework for Biomedical Abstract Generation
May 20, 2026Sylvey Lin, Joe Menke, Shufan Ming +3AI-Assisted Scientific Research Text Summarization
School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL · Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL
Learning Faster with Better Tokens: Parameter-Efficient Vocabulary Adaptation for Specialized Text Summarization
May 17, 2026Gunjan Balde, Soumyadeep Roy, Mainack Mondal +1Domain-Adaptive Pretraining Text Summarization
Dept. of Computer Science and Engg., IIT Kharagpur, Kharagpur, India · Dept. of Medicine (Biomedical Informatics), Stanford University, Stanford, CA, USA
PREFER: Personalized Review Summarization with Online Preference Learning
May 7, 2026Millend Roy, Agostino Capponi, Vineet GoyalText Summarization E-Commerce
Department of Industrial Engineering and Operations Research Columbia University New York, NY 10027
Generating Query-Focused Summarization Datasets from Query-Free Summarization Datasets
May 6, 2026Yllias Chali, Deen AbdullahSynthetic Data Generation Text Summarization
University of Lethbridge Alberta, Canada
S^2tory: Story Spine Distillation for Movie Script Summarization
May 5, 2026Mingzhe Lu, Yanbing Liu, Qihao Wang +5Text Summarization
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · HiThink Research, Hangzhou, China
ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding, but at What Cost?
May 1, 2026Joey Chan, Yikun Han, Jingyuan Chen +8LLM Personalization Language Model Safety Evaluation
University of Illinois Urbana-Champaign · University of Virginia · University of Colorado Anschutz +4
APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation
Apr 30, 2026Pengyun Zhu, Qiheng Sun, Long Wen +7Document Understanding Text Summarization
Tianjin University · Zhejiang University · North University of China +3
LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation
Apr 28, 2026Huyen Nguyen, Haoxuan Zhang, Yang Zhang +2LLM Evaluation LLM Self-Refinement
Cigna Group Evernorth Health Services Austin, Texas, USA · dept. of Information Science University of North Texas Denton, Texas, USA · dept. of Data Science University of North Texas Denton, Texas, USA
LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization
Apr 28, 2026Huyen Nguyen, Haoxuan Zhang, Yang Zhang +2Language Model Generation Evaluation Factual Consistency Evaluation
Cigna Group Evernorth Health Services Austin, Texas, USA · dept. of Information Science University of North Texas Denton, Texas, USA · dept. of Data Science University of North Texas Denton, Texas, USA
When Bigger Isn't Better: A Comprehensive Fairness Evaluation of Political Bias in Multi-News Summarisation
Apr 23, 2026Nannan Huang, Iffat Maab, Junichi YamagishiSocial Bias in Language Models Political Bias in Language Models
RMIT University, Australia · National Institute of Informatics, Tokyo, Japan
DWTSumm: Discrete Wavelet Transform for Document Summarization
Apr 22, 2026Rana Salama, Abdou Youssef, Mona DiabLegal NLP LLM Grounding
School of Engineering and Applied Science, George Washington University, USA · Language Technologies Institute, Carnegie Mellon University, USA
Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives
Apr 22, 2026Melanie Subbiah, Haaris Mian, Nicholas Deas +3Gender Bias in Language Models LLM Auditing
Department of Computer Science, Columbia University · Department of Applied Physics and Applied Mathematics, Columbia University · Department of Psychology, Northwestern University
FOCAL: Filtered On-device Continuous Activity Logging for Efficient Personal Desktop Summarization
Apr 21, 2026Haoran Yin, Zhiyuan Wen, Jiannong Cao +2Efficient VLM Inference Text Summarization
The Hong Kong Polytechnic University Hong Kong, China · China Mobile Communications Company Limited Research Institute Beijing, China
Evaluating LLM-Driven Summarisation of Parliamentary Debates with Computational Argumentation
Apr 21, 2026Eoghan Cunningham, Derek Greene, James Cross +1LLM Evaluation Factual Consistency Evaluation
School of Computer Science, University College Dublin · School of Politics and International Relations, University College Dublin · Department of Informatics, King’s College London
SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization
Apr 21, 2026Bo-Jyun Wang, Ying-Jia Lin, Hung-Yu KaoLearning to Rank Text Summarization
Department of Computer Science and Information Engineering, National Cheng Kung University · Department of Artificial Intelligence, Chang Gung University · Artificial Intelligence Research Center, Chang Gung University +1
Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarisation
Apr 20, 2026Nathikan Yodthapa, Thanapong Intharah, Sahan BulathwelaData Augmentation Text Summarization
Visual Intelligence Laboratory, Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand · Centre for Artificial Intelligence, Department of Computer Science, University College London, London WC1E 6BT, The United Kingdom
ThreadSumm: Summarization of Nested Discourse Threads Using Tree of Thoughts
Apr 19, 2026Olubusayo Olabisi, Ekata Mitra, Ameeta AgrawalTree of Thoughts Text Summarization
Department of Computer Science, Portland State University, USA
Learning to Control Summaries with Score Ranking
Apr 19, 2026Hongye Liu, Liang Ding, Ricardo HenaoText Summarization
Duke University · University of Sydney
Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization
Apr 19, 2026Xiaoyong Mei, Tingting Zuo, Da Chen +5Text Summarization Multi-Objective Language Model Alignment
Zhejiang Normal University · Huawei Technologies · HKUST, Hong Kong +2
Prompt-Driven Code Summarization: A Systematic Literature Review
Apr 16, 2026Afia Farjana, Zaiyu Cheng, Antonio MastropaoloLLM Evaluation LLM Prompting
William & Mary, USA
A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization
Apr 1, 2026Maxwell J. Jacobson, Daniel Xie, Jackson Shen +6Multi-Agent LLM Systems AI-Assisted Scientific Research
Department of Computer Science, Purdue University, IN, USA · School of Materials Science and Engineering, Purdue University, IN, USA
SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Era
Mar 17, 2026Han Jang, Junhyeok Lee, Kyu Sung ChoiLLM Evaluation Scientific Communication
Seoul National University · Seoul National University Hospital · Seoul National University College of Medicine
Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation
Mar 11, 2026Weixin Liu, Congning Ni, Qingyuan Song +4Claim Verification Healthcare
Vanderbilt University, Nashville, TN, USA · Vanderbilt University Medical Center, Nashville, TN, USA · Virginia Tech, Blacksburg, VA, USA

May 26, 2026, cs.CLJ/K move · Enter open · S save

Vectors Are Not Neutral: Sensitive-Information Inference from Exported LLM Representations in Summarization

Weixin Liu, Bowen Qu, Juming Xiong, Congning Ni+2

Vanderbilt University · Vanderbilt University Medical Center

LLM Auditing Privacy Leakage in Language Models Text Summarization

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Large language model (LLM) summarization systems may pass compact vector representations of private inputs to downstream retrieval, monitoring, audit, or analytic workflows. Even when source documents remain access-restricted, derived vectors may be handled under different access controls and still support sensitive-information inference, creating a residual information-disclosure risk. We study this issue in clinical discharge-summary generation as a high-stakes case study, using electronic health record (EHR)-recorded race as a controlled sensitive-label audit. We audit two artifacts that a system might retain or expose to downstream components: the final prompt-token hidden state and the mean-pooled prompt representation. Our results show that reducing recoverability of the case-study sensitive label from one exported artifact does not necessarily reduce recoverability from another. As a mitigation case study, we introduce SurfaceLoRA, an exported-vector-targeted parameter-efficient fine-tuning method that uses a gradient-reversal discriminator attached to a designated exported vector. Under a balanced five-way probing protocol, SurfaceLoRA reduces EHR-recorded race recoverability from the targeted final-token artifact toward chance while preserving summarization utility, yet recoverability remains substantially higher from untargeted pooled artifacts. These findings show that privacy auditing and mitigation should be performed on the exact vector artifact retained or exposed to downstream components.

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