Semantic Operator Pipelines
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Bridge the Last-Mile Gap to Semantic Analytics: Compiling Natural-Language Queries into Semantic Operator Pipelines
arXiv:2606.04641v1 Announce Type: new Abstract: Automated AI workflows increasingly rely on natural-language reasoning over heterogeneous data, but lack a practical way to execute it through optimized semantic data systems. Recent semantic operator systems, such as Palimpzest and LOTUS, expose declarative operators for filtering, joining, mapping, and aggregating over tables, text, and images using natural-language predicates. However, these systems require users to manually choose...
A Normative Intermediate Representation for ASP-Based Compliance Reasoning
arXiv:2606.04619v1 Announce Type: new Abstract: We propose MONIR, a Modalized-Output Normative Intermediate Representation for ASP-based compliance reasoning. Its core fragment has a staged operational semantics, while MONIR-ASP provides an executable compilation and extensions for external functions, temporal rules, and stable-model reasoning. We instantiate the framework on Chinese ADAS regulations and standards with an LLM-assisted pipeline.
Rethinking Search as Code Generation
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Finding Memory Leaks in C/C++ Programs via Neuro-Symbolic Augmented Static Analysis
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Adaptive Causal Alignment for High-Confidence Adversarial Training
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The Case for Text-to-SQL Friendly Logical Database Design
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RESBev: Making BEV Perception More Robust
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SCOUT: Semantic scene COverage via Uncertainty-guided Traversal
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Empirical Study for Structured Output Control in LLMs for Software Engineering
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GREAT: Generalizable Backdoor Attacks in RLHF via Emotion-Aware Trigger Synthesis
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