ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows
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Evidence Over Plans: Online Trajectory Verification for Skill Distillation
AttackPathGNN: Cross-function vulnerability detection in smart contracts using state inte…
Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing…
Temporal Preference Concepts and their Functions in a Large Language Model
World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Sy…
Learning of Robot Safety Policies via Adversarial Synthetic Scenarios
A Systematic Analysis of Biases in Large Language Models
The Granularity Gap: A Multi-Dimensional Longitudinal Audit of Sycophancy in Gemini Models
Is Diversity All You Need for Scalable Robotic Manipulation?
Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach
Multi-Granularity Reasoning for Natural Language Inference
Staying with the Uncertainty: Uncertainty-Scaffolding Strategies for Artificial Moral Adv…
Will the Agent Recuse Itself? Measuring LLM-Agent Compliance with In-Band Access-Deny Sig…
Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent…
From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teachin…
Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding
PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configur…
Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedd…
ECI: Effective Contrastive Information to Evaluate Hard-Negatives
Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewa…
Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dyn…
LadderMan: Learning Humanoid Perceptive Ladder Climbing
Beyond Rewards in Reinforcement Learning for Cyber Defence
Image Generators are Generalist Vision Learners
Deciphering Two Training Clocks in Grokking via Deep Linear Network Theory with Condition…
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, an…
When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domai…
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
Using street view images and visual LLMs to predict heritage values for governance suppor…