Technology
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Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity
arXiv:2606.05532v1 Announce Type: new Abstract: Recent studies reveal a paradox: AI enhances individual creative...
SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations
arXiv:2606.05563v1 Announce Type: new Abstract: Evaluating LLM mediators remains challenging, as mediation unfolds as...
Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
arXiv:2606.05602v1 Announce Type: new Abstract: AI assistants in human-AI collaboration often correct suboptimal human...
Multilingual Fine-Tuning via Localized Gradient Conflict Resolution
arXiv:2606.05613v1 Announce Type: new Abstract: The rapid evolution of Large Language Models (LLMs) has established...
Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack
arXiv:2606.05614v1 Announce Type: new Abstract: Large language models (LLMs) are rigorously aligned to refuse harmful...
Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit Hacking
arXiv:2606.05625v1 Announce Type: new Abstract: Implicit reward hacking is hard to audit when a language model's chain...
FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG
arXiv:2606.05644v1 Announce Type: new Abstract: When retrieved evidence contradicts parametric memory, language models...
Coding with "Enemy": Can Human Developers Detect AI Agent Sabotage?
arXiv:2606.05647v1 Announce Type: new Abstract: AI coding agents are increasingly embedded in real-world software...
Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent Workflows
arXiv:2606.05670v1 Announce Type: new Abstract: Does adding more agents help an LLM workflow once compared systems...
Beyond Output Matching: Preserving Internal Geometry in NVFP4 LLM Distillatio
arXiv:2606.05682v1 Announce Type: new Abstract: Demand for low-precision inference, including NVFP4-based approaches,...
AdaMEM: Test-Time Adaptive Memory for Language Agents
arXiv:2606.05684v1 Announce Type: new Abstract: A central challenge for language agents is utilizing past experience...
PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX Evaluation
arXiv:2606.05697v1 Announce Type: new Abstract: User interface (UI) and user experience (UX) evaluation is central to...
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