in-context learning 1language model evaluation 1prompt engineering 1self-consistency 1statistical consistency 1
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cs.CL2026
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models
Patrik Wolf, Thomas Kleine Buening, Andreas Krause +1
The paper investigates whether large language models give probability estimates that satisfy the law of total probability when prompted for subpopulations, revealing frequent viola…
cs.CL2026
Aligning Language Models from User Interactions
Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor +3
Multi-turn user interactions are among the most abundant data produced by language models, yet we lack effective methods to learn from them. While typically discarded, these intera…