2 papers
cs.AI2026
The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning
Henry Han, Xiyang Liu, Xiaodong Wang +2
Neural scaling laws provide a predictable recipe for AI advancement: reducing numerical precision should linearly improve computational efficiency and energy profile ($E \propto \m…
cs.CL2025
Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks
Jiaqi Yin, Yi-Wei Chen, Meng-Lung Lee +1
Enterprise data pipelines, characterized by complex transformations across multiple programming languages, often cause a semantic disconnect between original metadata and downstrea…