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What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Person

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17 Jul
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2 Apr
Brevity Constraints Reverse Performance Hierarchies in Language Models

arXiv:2604.00025v1 Announce Type: cross Abstract: Standard evaluation protocols reveal a counterintuitive phenomenon: on 7.7% of benchmark problems spanning five datasets, larger

REPORT · HOW · ArXiv CS.AIOPEN STORY
16 Apr
Numerical Instability and Chaos: Quantifying the Unpredictability of Large Language Models

arXiv:2604.13206v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly integrated into agentic workflows, their unpredictability stemming from numerical

REPORT · WHAT · ArXiv CS.AIOPEN STORY
4 May
Exploring LLM biases to manipulate AI search overview

arXiv:2605.00012v1 Announce Type: cross Abstract: Modern large language models (LLMs) are used in many business applications in general, and specifically in web search systems and

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models

arXiv:2604.22153v1 Announce Type: cross Abstract: When you ask an AI assistant for advice about your career, your marriage, or a conflict with your family, does it give you the

REPORT · WHERE · ArXiv CS.AIOPEN STORY
10 Aug
Divergent Response Modes in Frontier Language Models Under Steering Pressure

arXiv:2608.06578v1 Announce Type: new Abstract: Frontier language models are trained using distinct data, objectives, and safety pipelines. Whether these differences produce

REPORT · HOW · ArXiv CS.AIOPEN STORY
9 May
When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models

arXiv:2605.05403v1 Announce Type: new Abstract: This position paper argues that sycophancy in LLMs is a boundary failure between social alignment and epistemic integrity. Existing

REPORT · WHEN · ArXiv CS.AIOPEN STORY
26 Jun
Refusal Lives Downstream of Persona in Chat Models

arXiv:2606.26161v1 Announce Type: new Abstract: Linear directions in activation space have been identified for both refusal and persona traits in instruction-tuned chat models,

REPORT · WHAT · ArXiv CS.AIOPEN STORY
17 Jun
Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games

arXiv:2606.17657v1 Announce Type: new Abstract: People make decisions differently in strategic interactions. Some update beliefs like a Bayesian; others exhibit biases like

REPORT · HOW · ArXiv CS.AIOPEN STORY
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