ConTex learns a global intervention strategy via a decomposed temporal-conditional encoder architecture to generate consistent, sparse counterfactuals for time series models in a single forward pass.
Sparsetransformer for anomaly detection with association discrepancy, in: 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), pp
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
A novel unsupervised anomaly detection method for time series using Haar wavelets and a designed t-test outperforms state-of-the-art benchmarks across 343 datasets.
Reasoning-oriented LLMs reach up to 0.91 quadratic weighted kappa agreement with experts on public law cases when given sample solutions and grading rubrics, but only 0.60 on criminal law cases.
Hermes uses multi-agent LLMs to detect 2450 documentation and REST smells across 600 OpenAPI endpoints, demonstrating that structurally valid microservice APIs are often not semantically ready for agent consumption.
citing papers explorer
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ConTex: Reformulating Counterfactual Generation For Time Series Forecasting
ConTex learns a global intervention strategy via a decomposed temporal-conditional encoder architecture to generate consistent, sparse counterfactuals for time series models in a single forward pass.
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Fast and Accurate Anomaly Detection in Time Series
A novel unsupervised anomaly detection method for time series using Haar wavelets and a designed t-test outperforms state-of-the-art benchmarks across 343 datasets.
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GradeLegal: Automated Grading for German Legal Cases
Reasoning-oriented LLMs reach up to 0.91 quadratic weighted kappa agreement with experts on public law cases when given sample solutions and grading rubrics, but only 0.60 on criminal law cases.
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Making OpenAPI Documentation Agent-Ready: Detecting Documentation and REST Smells with a Multi-Agent LLM System
Hermes uses multi-agent LLMs to detect 2450 documentation and REST smells across 600 OpenAPI endpoints, demonstrating that structurally valid microservice APIs are often not semantically ready for agent consumption.