Disclosures

Momentum

12 papers in the last four weeks, up 300% on the four weeks before. 0.1% of all new papers.

Jul 6Week of Sep 21

Latest papers 70

All topics
CardsList
  1. An Educator-Guided LLM Pedagogical Agent for Scaffolded Feedback in Conceptual Database Design

    Oct 1, 2026Sara Riazi, Pedram RooshenasFeedbackPedagogical Frameworks

  2. Should I stay or should I show? Learning to selectively disclose information

    Sep 30, 2026Carlotta Giacchetta, Alessando Bogani, Cesare Barbera +4DisclosuresOptimal Policies

  3. Positive Ratings, Hidden Concerns: Employee Voice Disclosure in AI-Mediated Organizational Listening

    Sep 30, 2026Thilo Tamme, Michael Saatkamp, Alma Bonte +3DisclosuresHear

  4. Report: Progressive Disclosure of Agent Skills

    Sep 28, 2026Guilin Zhang, Kai Zhao, Priyanka Mudgal +4SkillsAgentic Workflows

  5. "Nothing to See Here'': Unintended Disclosure through Revision Traces of LLM Deliverables

    Sep 28, 2026Yage Zhang, Yukun Jiang, Yang ZhangDisclosuresRetention

  6. EP-Mem: Elastic Privacy Memory for Social Relationship-Aware LLM Agents

    Sep 28, 2026Fengzhou Sun, Yuan Zhang, Xintong Yu +1PrivacyFrontier Large Language Model Agents

  7. PrivDrift: Auditing User-Secret Leakage Under Topic Drift in Active LLM Conversations

    Sep 24, 2026Luciano MaldonadoData LeakageDisclosures

  8. GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation

    Sep 18, 2026Zeyu Yan, Guanghao Zhou, Minghui Qiu +2Large Language Model UnlearningLarge Reasoning Models

  9. Whom Do AI Agents Work For? Role Assignment Induces Sponsorship Bias in LLM Recommenders

    Sep 16, 2026Davood Wadi, Yu MaAgentic CommerceDisclosures

  10. Information Design in Smooth Games

    Sep 14, 2026Alex Smolin, Takuro YamashitaObservable Stochastic GameDisclosures

  11. A Responsive Present, a Shared Past, a Social Other: Teens' Overreliance on Companion AI Chatbots

    Sep 13, 2026Mohammad Namvarpour, Tyler Chang, Afsaneh RaziArtificial Intelligence CompanionsDisclosures

  12. Human-like moral judgments conceal divergent motive attributions in large language models

    Sep 7, 2026Xiaoyan Wu, Jean-Claude DreherMoral ReasoningPsychology

  13. A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms

    Sep 3, 2026Davide Paglieri, Logan Cross, Tim Genewein +3SwarmsSingle-Agent

  14. Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfaces

    Aug 31, 2026Rahul Vimalkanth, Kaushik MitraPrivacyBiometrics

  15. CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment

    Aug 10, 2026Bingcan Guo, Eryue Xu, Jijie Zhou +2PrivacyDisclosures

  16. CARE-Bench: Benchmarking Patient-Facing LLM Triage

    Aug 4, 2026Yining Hua, Hongbin Na, Cyrus AyubchaTriageDisclosures

  17. MNC: Scope-Bound Semantic Declassification for Private LLM-Agent Communication

    Aug 3, 2026Jinghan Xu, Longze Fan, Zeyuan Wang +2DisclosuresLanguage-Model Agents

  18. Talking to Digital Twins: Selective Disclosure and Belief Measurement in Financial Social Media

    Aug 2, 2026Boone Bowles, Raymond Duch, Sorin SorescuSocial MediaSocial Influence

  19. Auditable Release Control for Pedagogical Leakage in LLM Tutors

    Aug 1, 2026Nizam KadirData LeakageRelease

  20. Shapley-Value-Based Feature Attribution for Data Masking

    Jul 31, 2026Xinxue, Qu, Francis Bilson Darku +1Shapley ValueDisclosures

  21. Learning to Persuade Privately Informed Receivers

    Jul 30, 2026I. Arda Vurankaya, Ufuk TopcuPersuasionPrivate Signals

  22. GEMCo: A Validated, Ethically Releasable Proxy for Inaccessible Counselling Data

    Jul 26, 2026Philipp Steigerwald, Eric Rudolph, Mara Stieler +3CounselingConversational Datasets

  23. Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI

    Jul 24, 2026Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1DisclosuresDigital Sovereignty

  24. Is Progressive Disclosure All You Need for Long-Context Agents?

    Jul 20, 2026Yifeng He, Yinzhe Zhao, Jicheng Wang +1DisclosuresRepresentation Collapse

  25. Signal-based Model Access Risk Analysis for AI System Operations Security

    Jul 17, 2026Maria Mahbub, Steven Young, Amir Sadovnik +4Artificial Intelligence RiskRealistic Threat Model

  26. Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction

    Jul 16, 2026Ryuichi Sumida, Mao Saeki, Masaki Eguchi +4Human-Ai InteractionConversational Context

  27. ToolAlignBench: Investigating Alignment Conflicts in Tool-Calling Enabled LLMs

    Jul 15, 2026Aryan Keluskar, Amrita Bhattacharjee, Huan LiuLarge Language Model SafetyAgentic Deployments

  28. Plausible Deniability Guarantees for Whistleblowers

    Jul 15, 2026Leo Richter, Matt J. KusnerΔ)$-Differential PrivacyModel Auditing

  29. Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable

    Jul 14, 2026Ruhan Wang, Yucheng Shi, Zongxia Li +7Agent HarnessArtificial Intelligence Agents

  30. LLMs for health: Perceived benefits, risks, intention to use AI chatbots, and willingness to self-disclose across sensitive health topics

    Jul 10, 2026Gwenn Beets, Anniek Jansen, Saar Hommes +6ChatbotsDisclosures

  31. Selective Disclosure Watermarking for Large Language Models

    Jul 6, 2026Xuyang Chen, Xiang Li, Yangxinyu Xie +1Large Language Model WatermarksWatermarking

  32. PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured Updates

    Jul 6, 2026Zhaoyu Bai, Jiaqi CaiLarge Language Model WorkflowsDisclosures

  33. Whistleblowing and the machine -- towards a considered position

    Jun 19, 2026Marija Slavkovik, Liuwen Yu, Leon van der Torre +1DisclosuresPosition

  34. Understanding Latent Flow Models for Tabular Data Synthesis: Targets, Paths, and Sampling

    Jun 18, 2026Bahrul Ilmi NasutionSynthetic Tabular DataLatent Flow

  35. Phantoms and Disclosures: a Causal Framework for Auditing Synthetic Data

    Jun 15, 2026Kareem Amin, Rudrajit Das, Alessandro Epasto +4Synthetic DataMembership Inference Attacks

  36. Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives

    Jun 15, 2026Yangjun Zhang, Mirko Bottarelli, Mark Hooper +1Fraud DetectionTopic Modeling

  37. SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior

    Jun 10, 2026Zhiyu Chen, Zihan Guo, Bo Huang +4Agent Skill RetrievalSkills

  38. Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News

    Jun 9, 2026Pooja PrajodTransparencyDisclosures

  39. Off-Policy Evaluation with Strategic Agents via Local Disclosure

    Jun 5, 2026Kiet Q. H. Vo, Abbavaram Gowtham Reddy, Julian Rodemann +2Off-Policy LearningStrategic Agents

  40. What Is My Robot Thinking? Design Considerations for Transparent and Trustworthy Shared Autonomy

    Jun 5, 2026Atharv Belsare, Zohre Karimi, Connor Mattson +2TransparencyDisclosures

  41. Attribution via Distributional Paths for Information Revelation

    Jun 2, 2026Kieran A. Murphy, Shameen ShresthaExplainabilityGradient-Weighted Class Activation Mapping

  42. It does what it says on the tin: safe synthetic data from coarsened margins

    Jun 1, 2026Gillian M RaabSynthetic DataDisclosures

  43. ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure

    May 28, 2026A. J. Lew, Y. Cao, M. J. BuehlerScientific DiscoveryArtificial Intelligence Scientists

  44. IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents

    May 27, 2026Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan +8Multimodal DocumentsRegulation

  45. BAIT: Boundary-Guided Disclosure Escalation LLM Jailbreaking via Self-Conditioned Reasoning

    May 26, 2026Xuan Luo, Yue Wang, Geng Tu +2Jailbreak AttacksAttack-Success Rate

  46. CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure

    May 20, 2026Inna Wanyin Lin, Sahand Sabour, Hong Sng +4Simulated PatientsClinician Trust

  47. Exploring Trust Calibration in XAI - The Impact of Exposing Model Limitations to Lay Users

    May 18, 2026Alfio Ventura, Tim Katzke, Jan Corazza +1XaiAI Trustworthiness

  48. PrivScope: Task-scoped Disclosure Control for Hybrid Agentic Systems

    May 15, 2026Shafizur Rahman Seeam, Zhengxiong Li, Zhiyuan Yu +3DisclosuresData Leakage

  49. Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selective Disclosure

    May 13, 2026Moritz Schlager, Friederike Jungmann, Samuel Schmidgall +12Simulated PatientsPersonality

  50. Position: The Term "Machine Unlearning" Is Overused in LLMs

    May 8, 2026Sangyeon Yoon, Yeachan Jun, Albert NoMachine UnlearningDeletion

  51. When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning

    May 5, 2026Jiaqi Wei, Xuehang Guo, Pengfei Yu +5LLM Reasoning StrategiesToken-Level Uncertainty