SODE: Analyzing Social Dynamics in LLM Agents
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Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Stud…
High-Risk AI Systems and the Problem of Identity in the European AI Act
Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey,…
Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning
Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing
LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATA…
Machine Intelligence that Understands Visual and Linguistic Information and Interacts wit…
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
Saturating Scaling Laws for Equational Discovery: A Phenomenology of Growth Dynamics in T…
CyBOKClaw: Human-in-the-Loop CyBOK Mapping for Cybersecurity Curriculum
Generative AI impacts on intra-urban inequality and skill premium in Beijing
Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic U…
Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer…
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Rein…
VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Trans…
Privacy-Preserving Local Language Models for Longitudinal Data Retrieval in Chronic Derma…
The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
Who judges the judges? Governance from metrics: a runtime framework for continuous LLM co…
ExplainReduce: Generating global explanations from many local explanations
Energy Shields for Fairness
CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Re…
Spectral Retrieval: Multi-Scale Sinc Convolution over Token Embeddings for Localized Retr…
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward …
From Theory to Decision Rule: Calibrating the Noisy-Label Crossover for Vision-Language M…
Credit Assignment with Resets in Language Model Reasoning
Zero-Shot Parkinson's Disease Detection from Speech: Comparing Large Audio and Language M…
Reflect-Guard: Enhancing LLM Safeguards against Adversarial Prompts via Logical Self-Refl…