Count Evidence, Not Sentences: Tempered Evidence Fusion of LLM Judgments for Long-Text Value Measurement

arXiv:2609.27165 · cs.CL, cs.AI · Submitted 2026-09-22 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Accuracy — 11× in this paper · explained in 1 episode
• Calibration — 8× in this paper · explained in 7 episodes
• Aggregation — 5× in this paper · explained in 1 episode
• Tempered Evidence Fusion — 5× in this paper
• Benchmark — 4× in this paper · explained in 2 episodes
• Information Gain — 4× in this paper · explained in 2 episodes
• Data Fusion — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-event Insight Network Dimensions — 1× in this paper
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Rethinking stance detection: A theoretically-informed research agenda for user-level inference using language models
• Language Models (Mostly) Know What They Know
• Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
• The Llama 3 Herd of Models
• Qwen2.5 Technical Report
• Qwen3 Technical Report
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

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