253 papers
This paper proposes a new paradigm for causal discovery that leverages crowdsourcing, expert elicitation, and LLM-based simulation to aggregate fragmented knowledge from multiple agents into a comprehensive global causal structure unattainable by any single entity.
This paper demonstrates that applying the Persona Ecosystem Playground to 41,300 Moltbook posts via k-means clustering and retrieval-augmented generation successfully generates and validates distinct AI agent personas, proving that such modeling can effectively capture and simulate the behavioral diversity of AI populations in social media ecosystems.
The paper introduces SemKey, a novel framework that decouples semantic guidance into four objectives and redesigns EEG-LLM interactions to eliminate hallucinations and the BLEU trap, achieving state-of-the-art performance in EEG-to-text decoding through rigorous signal-grounded evaluation.
This paper introduces Arapai, an offline-first AI chatbot architecture that enables personalized, curriculum-aligned learning on low-specification, CPU-only devices without internet connectivity, thereby addressing digital inequalities and enhancing educational resilience in resource-constrained environments.
This paper presents a web-based tool that utilizes a controlled natural language interface to enable non-expert educators and an LLM to collaboratively design educational games by explicitly mapping pedagogical intent to gameplay, thereby lowering design barriers while preserving human agency and ensuring alignment between learning goals and game mechanics.
This paper proposes UrbanHuRo, a two-layer human-robot collaboration framework that jointly optimizes heterogeneous urban services like crowdsourced delivery and sensing through scalable order dispatch and deep reinforcement learning, achieving significant improvements in sensing coverage, courier income, and order timeliness.
This paper investigates parents' preferences for moderating children's interactions with Generative AI chatbots by using LLM-generated scenarios to reveal a need for controls that address overlooked concerns, offer fine-grained transparency, and provide age-appropriate personalization.
This paper evaluates the feasibility and limitations of using LLM-driven agents to autonomously audit dark patterns in CCPA data rights request workflows across 456 websites, assessing their ability to navigate interfaces, classify manipulative designs, and identify failure conditions.
This paper presents IROSA, a novel framework that leverages pre-trained large language models to enable open-vocabulary, safe, and interpretable robot skill adaptation for industrial tasks through a tool-based architecture that avoids direct model-to-robot interaction or fine-tuning.
This paper proposes "Field Atlas," a framework grounded in 4E cognition and active inference that reorients AIED from the sedentary assumption of screen-based instruction to embodied, place-bound field learning where AI acts as a Socratic epistemic teammate, using volitional photography and voice reflection to assess learning through AI-resistant physical-epistemic trajectories.
This paper presents FeedAIde, a context-aware feedback system powered by Multimodal Large Language Models that guides app users through adaptive follow-up questions to generate more complete and valuable bug reports and feature requests, as validated by improved user ratings and expert assessments in a real-world iOS app evaluation.
This paper presents LikeThis!, a GenAI-based approach that empowers users to transform vague UI complaints into constructive, actionable feedback by generating concrete design improvement alternatives from user comments and screenshots, which was validated through model benchmarking and a user study showing enhanced feedback quality and developer understanding.
This study reveals that while ChatGPT temporarily boosts human creative performance, its use ultimately leads to a reversion to baseline creativity and a persistent homogenization of content, challenging the notion that generative AI enhances long-term human creativity.