ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams
ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams Entity-Relationship Diagrams (ERDs) are the standard way to design databases, yet t...
ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams Entity-Relationship Diagrams (ERDs) are the standard way to design databases, yet t...
Agentic Root Cause Analysis through Evidence-Grounded Reasoning Industrial systems are complex, and when they behave abnormally, identifying the specific phy...
Learning Structural Convergence: A Neuro-Symbolic Benchmark for Temporal Reasoning introduces TRACTA, a new synthetic benchmark designed to test how AI syste...
ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders The rise of "vibe-coding"—where developers start with a high-level idea rather than a de...
MIRROR: Learning from the Other View for Multi-Modal Reasoning Vision-language models (VLMs) often struggle with reasoning, even when the information provide...
Logic Programming Semantics for Causal Processes explores how the rules used in computer logic programming can be used to model processes that unfold over ti...
How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming This paper addresses a fundamental challenge in artificial intelli...
Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Using Machine Learning The Single Constant Multiplication (SCM) problem...
The Boundaries of Automation: A Theory of Persistent Human Participation The rapid advancement of AI has led to a common assumption: that humans are only inv...
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning introduces a new methodology to solve the complex, fragmented, and often slow...