Compliance without coherence: fluent failure and the ethics of alignment evaluation in multi-agent language models

The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure

The results show that models often do not affirm culmination but nevertheless accept the corresponding simple-past hypothesis, a pattern the authors characterize as Sufficiency Bias, and show that prompting interventions produce a Decision Shift among labels without reliably improving the underlying semantic understand...

Epistemic Stance Flexibility Probing: Measuring Prompt-Conditioned Register Shift in Large Language Models

ESFP, a behavioral benchmark that treats the contrast between externally attributed and self-attributed prompts as the fundamental unit of measurement, is introduced, a behavioral benchmark that measures a model's propensity to adapt its epistemic stance under changing attribution conditions, rather than a general comp...

Asymmetric Communication: Large Language Models and Language Games

This paper argues that human-LLM interaction constitutes a language game in which one side bears all normative activity, and draws on Wittgenstein, Luhmann, Esposito, and Brandom to reclassify each as a receiver-side phenomenon, grounds guardrails as structural necessities rather than manifestations of machine moral ag...

Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives

This work introduces XstrAI, an audience-aware multi-agent framework that treats local explanations as fixed evidence and structures how it is communicated to each target reader, and evaluates XstrAI on diabetes and stroke risk prediction against 11 baselines.

Defensible but Not Owned: Evidence of Agency Erosion in Agentic AI-Assisted Argumentation A Pilot Study from a Multi-Stage Policy-Writing Simulation

For What Reason? Interpreting Models' Encoding of Causation and Antithesis

This work investigates how instruction-tuned Transformer models (LLaMA and Mistral) encode discourse relations in English, with a particular focus on the contrasting relations of causation and antithesis, suggesting asymmetric representation of discourse-based reasoning.