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A Fast and Effective Solution to the Problem of Look-ahead Bias in LLMs
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers introduced an inference-time logit-adjustment method to reduce look-ahead bias in financial LLMs without model retraining.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 25 September 2026
- Collected by OneBench
- 26 Sept 2026, 03:01 UK
Stored source excerpt
arXiv:2512.06607v2 Announce Type: replace-cross Abstract: Applying LLMs to predictive tasks in finance is challenging due to look-ahead bias resulting from their training on long time-series…
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