SR4CS is a new open collection of 1,212 CS systematic reviews with expert Boolean queries and references to support reproducible automation research.
Large language models are versatile decomposers: Decomposing evidence and questions for table-based reasoning
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
TABALIGN pairs a diffusion language model planner emitting binary cell masks with a trained attention verifier, raising average accuracy 15.76 points over strong baselines on eight table benchmarks while speeding execution 44.64%.
HYVE cuts LLM token usage on machine data by 50-90% using database-style hybrid views and a request-scoped datastore while maintaining or improving quality on tasks like anomaly detection and chart generation.
citing papers explorer
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A Collection of Systematic Reviews in Computer Science
SR4CS is a new open collection of 1,212 CS systematic reviews with expert Boolean queries and references to support reproducible automation research.
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From Table to Cell: Attention for Better Reasoning with TABALIGN
TABALIGN pairs a diffusion language model planner emitting binary cell masks with a trained attention verifier, raising average accuracy 15.76 points over strong baselines on eight table benchmarks while speeding execution 44.64%.
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HYVE: Hybrid Views for LLM Context Engineering over Machine Data
HYVE cuts LLM token usage on machine data by 50-90% using database-style hybrid views and a request-scoped datastore while maintaining or improving quality on tasks like anomaly detection and chart generation.