Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches

arXiv:2609.00946 · stat.ML, cs.AI, cs.LG, math.ST, stat.ME, stat.TH · Submitted 2026-09-01 · Read on arXiv

stat.ML, cs.AI, cs.LG, math.ST, stat.ME, stat.TH

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Embeddings — 49× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Causal Discovery — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Monte Carlo — 2× in this paper
• Redundancy — 2× in this paper · explained in 2 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• jina-embeddings-v5-text: Task-Targeted Embedding Distillation
• The Impossibility of Fair LLMs
• On the Robustness of Multilingual Text Embedding Rankings Across Learning Tasks, Languages, and Benchmark Datasets
• Intrinsic Bias Metrics Do Not Correlate with Application Bias
• A Survey on Fairness in Large Language Models
• NV-Retriever: Improving text embedding models with effective hard-negative mining
• New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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