Backtracking: Why We Replaced External Feedback With a Lightweight Classifier
#llms #lightweightclassifier #externalfeedback #cottrace #llmbacktracking #bigbenchmistake #rewardmodeling #generatormodel
https://hackernoon.com/backtracking-why-we-replaced-external-feedback-with-a-lightweight-classifier
#llms #lightweightclassifier #externalfeedback #cottrace #llmbacktracking #bigbenchmistake #rewardmodeling #generatormodel
https://hackernoon.com/backtracking-why-we-replaced-external-feedback-with-a-lightweight-classifier
Hackernoon
Backtracking: Why We Replaced External Feedback With a Lightweight Classifier | HackerNoon
We propose a simple backtracking method to improve model outputs based on the location of logical errors. Backtracking reduces the computational cost
LLMs Can Correct Reasoning Errors! But Not Without Limitations
#llms #bigbenchmistake #cotstyletraces #usingllmstocorrecterrors #rewardmodels #usingllmstofindmistakes #humanannotation #llmbacktracking
https://hackernoon.com/llms-can-correct-reasoning-errors-but-not-without-limitations
#llms #bigbenchmistake #cotstyletraces #usingllmstocorrecterrors #rewardmodels #usingllmstofindmistakes #humanannotation #llmbacktracking
https://hackernoon.com/llms-can-correct-reasoning-errors-but-not-without-limitations
Hackernoon
LLMs Can Correct Reasoning Errors! But Not Without Limitations | HackerNoon
In this paper, we describe and release our dataset BIG-Bench Mistake for mistake-finding and propose a backtracking method to correct logical errors.