Imagen de Portada

Epistemic Blinding: An Inference-Time Protocol for Auditing Prior Contamination in LLM-Assisted Analysis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Cuccarese, Michael
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
por: Wu, Yuheng, et al.
Publicado: (2025)

Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
por: Zhu, Shanshan, et al.
Publicado: (2026)

MAVEN: Multi-Agent Verification-Elaboration Network with In-Step Epistemic Auditing
por: Yao, Yinsheng, et al.
Publicado: (2026)

Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
por: Basmov, Victoria, et al.
Publicado: (2023)

Affording Process Auditability with QualAnalyzer: An Atomistic LLM Analysis Tool for Qualitative Research
por: Lu, Max Hao, et al.
Publicado: (2026)

DAIQ: Auditing Demographic Attribute Inference from Question in LLMs
por: Panda, Srikant, et al.
Publicado: (2025)

Concept-Level Explainability for Auditing & Steering LLM Responses
por: Amara, Kenza, et al.
Publicado: (2025)

Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models
por: Abdaljalil, Samir, et al.
Publicado: (2025)

SafeCtrl-RL: Inference-Time Adaptive Behaviour Control for LLM Dialogue via RL-Driven Prompt Optimisation
por: Orme, Michael, et al.
Publicado: (2026)

Equal Access, Unequal Interaction: A Counterfactual Audit of LLM Fairness
por: Amiri-Margavi, Alireza, et al.
Publicado: (2026)

The 17% Gap: Quantifying Epistemic Decay in AI-Assisted Survey Papers
por: İlter, H. Kemal
Publicado: (2026)

Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
por: Li, Meng, et al.
Publicado: (2025)

Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidence in LLM Benchmarks
por: Song, Yiliang, et al.
Publicado: (2026)

Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery
por: Clark, Nicholas, et al.
Publicado: (2025)

Code Comprehension then Auditing for Unsupervised LLM Evaluation
por: Patel, Bhrij, et al.
Publicado: (2024)

Blinded Radiologist and LLM-Based Evaluation of LLM-Generated Japanese Translations of Chest CT Reports: Comparative Study
por: Yamagishi, Yosuke, et al.
Publicado: (2026)

Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation
por: Kocyigit, Muhammed Yusuf, et al.
Publicado: (2025)

It's Not Always Sycophancy: Measuring LLM Conformity as a Function of Epistemic Uncertainty
por: Guo, Kevin H., et al.
Publicado: (2026)

Preference Leakage: A Contamination Problem in LLM-as-a-judge
por: Li, Dawei, et al.
Publicado: (2025)

LiveBench: A Challenging, Contamination-Limited LLM Benchmark
por: White, Colin, et al.
Publicado: (2024)

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis
por: Dietrich, Juergen
Publicado: (2026)

TopicENA: Enabling Epistemic Network Analysis at Scale through Automated Topic-Based Coding
por: Lu, Owen H. T., et al.
Publicado: (2026)

Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
por: Yuan, Wenhao, et al.
Publicado: (2026)

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
por: Zhao, Jingqian, et al.
Publicado: (2025)

Beyond Jailbreaking: Auditing Contextual Privacy in LLM Agents
por: Das, Saswat, et al.
Publicado: (2025)

Agent Context Protocols Enhance Collective Inference
por: Bhardwaj, Devansh, et al.
Publicado: (2025)

The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
por: Gunjan, et al.
Publicado: (2026)

Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM
por: Song, Dingjie, et al.
Publicado: (2024)

Sycophancy in Vision-Language Models: A Systematic Analysis and an Inference-Time Mitigation Framework
por: Zhao, Yunpu, et al.
Publicado: (2024)

ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols
por: Sheth, Arnav, et al.
Publicado: (2025)

The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
por: Kim, Hyunwoo, et al.
Publicado: (2026)

A Survey on LLM-Assisted Clinical Trial Recruitment
por: Ghosh, Shrestha, et al.
Publicado: (2025)

Propensity Inference: Environmental Contributors to LLM Behaviour
por: Järviniemi, Olli, et al.
Publicado: (2026)

NITRO: LLM Inference on Intel Laptop NPUs
por: Fei, Anthony, et al.
Publicado: (2024)

LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
por: Li, Yucheng, et al.
Publicado: (2023)

Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
por: Cui, Shaobo, et al.
Publicado: (2024)

Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Summaries
por: Mayilvaghanan, Kawin, et al.
Publicado: (2025)

AuditWen:An Open-Source Large Language Model for Audit
por: Huang, Jiajia, et al.
Publicado: (2024)

Data Contamination Can Cross Language Barriers
por: Yao, Feng, et al.
Publicado: (2024)

PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training
por: Bobbili, Sarat Chandra, et al.
Publicado: (2025)