From Token Probabilities to Semantic Constraints: Towards Declarative Probabilistic Evaluation of Language Models
This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.13520v1 Announce Type: new Abstract: While Large Language Models have improved rapidly, many fundamental questions remain about how to evaluate the knowledge and reasoning abilities they acquire, and how such evaluations relate to the learning signals used in pre-training. In this paper,…
Read the full story at arXiv cs.CL ↗
Timeline · 1 report
- 2026-09-15 04:00 · arXiv cs.CL
From Token Probabilities to Semantic Constraints: Towards Declarative Probabilistic Evaluation of Language Models