Option-Order Randomisation Reveals a Distributional Position Attractor in Prompted Sandbagging
Fuente:
arXiv
Saved in:
| Main Author: | Cacioli, Jon-Paul |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Instruction Complexity Induces Positional Collapse in Adversarial LLM Evaluation
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
LLMs as Signal Detectors: Sensitivity, Bias, and the Temperature-Criterion Analogy
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Weber's Law in Transformer Magnitude Representations: Efficient Coding, Representational Geometry, and Psychophysical Laws in Language Models
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Distilling Self-Consistency into Verbal Confidence: A Pre-Registered Negative Result and Post-Hoc Rescue on Gemma 3 4B
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Do LLMs Know What They Know? Measuring Metacognitive Efficiency with Signal Detection Theory
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Categorical Perception in Large Language Model Hidden States: Structural Warping at Digit-Count Boundaries
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
Repetition Without Exclusivity: Scale Sensitivity of Referential Mechanisms in Child-Scale Language Models
by: Cacioli, Jon-Paul
Published: (2026)
by: Cacioli, Jon-Paul
Published: (2026)
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)
by: Saji, Alan, et al.
Published: (2025)
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)
by: Peters, Sydney, et al.
Published: (2025)
CodeNER: Code Prompting for Named Entity Recognition
by: Han, Sungwoo, et al.
Published: (2025)
by: Han, Sungwoo, et al.
Published: (2025)
Prompt-Time Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)
by: Çöplü, Tolga, et al.
Published: (2024)
From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression
by: Choi, Eunseong, et al.
Published: (2024)
by: Choi, Eunseong, et al.
Published: (2024)
The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts
by: Johnson, Warren
Published: (2026)
by: Johnson, Warren
Published: (2026)
Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)
by: Çöplü, Tolga, et al.
Published: (2024)
APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
by: Chernodub, Artem, et al.
Published: (2025)
by: Chernodub, Artem, et al.
Published: (2025)
Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt Structure
by: Devbunova, Viliana
Published: (2026)
by: Devbunova, Viliana
Published: (2026)
Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
by: Schmitt, Marvin, et al.
Published: (2026)
by: Schmitt, Marvin, et al.
Published: (2026)
NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors
by: Naeem, Numaan, et al.
Published: (2025)
by: Naeem, Numaan, et al.
Published: (2025)
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
by: Budagam, Devichand, et al.
Published: (2024)
by: Budagam, Devichand, et al.
Published: (2024)
Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization
by: Elganayni, Mohamed Hesham, et al.
Published: (2026)
by: Elganayni, Mohamed Hesham, et al.
Published: (2026)
Distributed In-Context Learning under Non-IID Among Clients
by: Liang, Siqi, et al.
Published: (2024)
by: Liang, Siqi, et al.
Published: (2024)
Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs
by: Keeman, Michael
Published: (2026)
by: Keeman, Michael
Published: (2026)
Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
by: Xu, Wenjie, et al.
Published: (2023)
by: Xu, Wenjie, et al.
Published: (2023)
Word Importance Explains How Prompts Affect Language Model Outputs
by: Hackmann, Stefan, et al.
Published: (2024)
by: Hackmann, Stefan, et al.
Published: (2024)
Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models
by: Darm, Paul, et al.
Published: (2025)
by: Darm, Paul, et al.
Published: (2025)
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)
by: Oketunji, Abiodun Finbarrs
Published: (2023)
Low-Resource Court Judgment Summarization for Common Law Systems
by: Liu, Shuaiqi, et al.
Published: (2024)
by: Liu, Shuaiqi, et al.
Published: (2024)
NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
by: Putra, Rizky Ramadhana, et al.
Published: (2026)
by: Putra, Rizky Ramadhana, et al.
Published: (2026)
Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)
by: Dalal, Dhairya, et al.
Published: (2024)
Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
by: Allen, Bradley P., et al.
Published: (2024)
by: Allen, Bradley P., et al.
Published: (2024)
When Emotional Stimuli meet Prompt Designing: An Auto-Prompt Graphical Paradigm
by: Ma, Chenggian, et al.
Published: (2024)
by: Ma, Chenggian, et al.
Published: (2024)
NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach
by: Hiltmann, Torsten, et al.
Published: (2025)
by: Hiltmann, Torsten, et al.
Published: (2025)
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
Not a nuisance but a useful heuristic: Outlier dimensions favor frequent tokens in language models
by: Macocco, Iuri, et al.
Published: (2025)
by: Macocco, Iuri, et al.
Published: (2025)
From Guessing to Asking: An Approach to Resolving the Persona Knowledge Gap in LLMs during Multi-Turn Conversations
by: Baskar, Sarvesh, et al.
Published: (2025)
by: Baskar, Sarvesh, et al.
Published: (2025)
Analyzing Large language models chatbots: An experimental approach using a probability test
by: Peruchini, Melise, et al.
Published: (2024)
by: Peruchini, Melise, et al.
Published: (2024)
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework
by: Chen, Jie, et al.
Published: (2025)
by: Chen, Jie, et al.
Published: (2025)
Similar Items
-
Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance
by: Cacioli, Jon-Paul
Published: (2026) -
Instruction Complexity Induces Positional Collapse in Adversarial LLM Evaluation
by: Cacioli, Jon-Paul
Published: (2026) -
Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning
by: Cacioli, Jon-Paul
Published: (2026) -
LLMs as Signal Detectors: Sensitivity, Bias, and the Temperature-Criterion Analogy
by: Cacioli, Jon-Paul
Published: (2026) -
Weber's Law in Transformer Magnitude Representations: Efficient Coding, Representational Geometry, and Psychophysical Laws in Language Models
by: Cacioli, Jon-Paul
Published: (2026)