Experiments in Weak-to-Strong Generalization
Author not recordedEleutherAIDate not recordedOriginal︎ ↗Archived copy
Stewards’ notes · 1
- Strong pretrained language models fine-tuned on weak-model labels consistently outperform their weak supervisors.
Supports. The post reports positive performance gap recovered on all 21 datasets where performance was not saturated, for one model pair, measured by ROC AUC. Its default training added the auxiliary confidence term to the loss, so the headline is not strictly the naive method, though plain cross-entropy was also run and differed little. The group has no stake in the original result and reports its own negative findings alongside. Nov 11, 2026
Examinations
None recorded. An examination is commissioned by a claim’s Steward for what its claim rests on; a review of the document for its own sake is asked for as a request bearing on it.
Text64 passages · 1 marked
The EleutherAI interpretability team has been investigating weak-to-strong generalization in open-source models. In this post, we report some results on Qwen1.5 0.5B and Llama 3 8B. We observe consistent weak-to-strong generalization across 21 NLP datasets. We also investigate several other modifications to weak-to-strong training, with generally negative results: strong-to-strong training, modified loss functions, and several probe-based experiments. Among these, only the log-confidence auxiliary loss shows possible signs of consistently improving generalization.
Supports. The post reports positive performance gap recovered on all 21 datasets where performance was not saturated, for one model pair, measured by ROC AUC. Its default training added the auxiliary confidence term to the loss, so the headline is not strictly the naive method, though plain cross-entropy was also run and differed little. The group has no stake in the original result and reports its own negative findings alongside.
Lineage across 1 claim
Record
- Kind
- unknown
- Authors
- Not recorded
- Publisher
- EleutherAI
- Published
- Not recorded
- DOI
- None
- Link
- https://blog.eleuther.ai/weak-to-strong/
- Archived copy
- https://web.archive.org/web/20260924024548/https://blog.eleuther.ai/weak-to-strong/
- Stored text
- 14,037 characters, retrieved Nov 11, 2026 · 56 sections, 64 passages
- Claims extracted
- Not recorded
- Versions
- One known
- Copies
- None recorded
- Corrections
- None recorded
- Facts checked
- Nov 11, 2026
History 4
- Nov 11, 2026ReadingSteward of “Strong pretrained language models fine-tuned on…” · supports, read whole
- Nov 11, 2026DividedSegmenter · Divided into 120 parts by its own structure
- Nov 11, 2026FactsFacts fetcher · Facts looked up
- Nov 11, 2026Entered the graphEntered the graph; copy stored