Attribution Quality in AI-Generated Content:Benchmarking Style Embeddings and LLM Judges

arXiv:2510.13898 · cs.CL · Submitted 2025-10-14 · Read on arXiv

cs.CL

Submitted: 2025-10-14

Updated: 2025-10-14

Comments: Accepted for publication at the 2025 IEEE ICDM Workshop on "Grounding Documents with Reasoning, Agents, Retrieval, and Attribution". This is author submitted version. Not yet published

Journal ref: Proc. IEEE Int. Conf. Data Mining Workshops (ICDMW), pp. 1713-1720, 2025

DOI: 10.1109/ICDMW69685.2025.00205

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 36× in this paper · explained in 2 episodes
• LLM judge — 36× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Provenance — 4× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation Studies — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Do LLMs write like humans? Variation in grammatical and rhetorical styles
• GPT-4 Technical Report
• Efficient Estimation of Word Representations in Vector Space
• Llama 2: Open Foundation and Fine-Tuned Chat Models

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