Our Annotations Guide for BIG-Bench Mistake
#llms #bigbenchmistake #multisteparithmetic #cotsteplevelprompting #bigbenchdatasets #whatisbigbenchmistake #usingllmstocorrecterrors #canllmsfindmistakes
https://hackernoon.com/our-annotations-guide-for-big-bench-mistake
#llms #bigbenchmistake #multisteparithmetic #cotsteplevelprompting #bigbenchdatasets #whatisbigbenchmistake #usingllmstocorrecterrors #canllmsfindmistakes
https://hackernoon.com/our-annotations-guide-for-big-bench-mistake
Hackernoon
Our Annotations Guide for BIG-Bench Mistake | HackerNoon
Annotators can click on words to highlight the same word across the trace and the question text. Buttons on the right automatically become inactive
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.
Using LLMs to Correct Reasoning Mistakes: Related Works That You Should Know About
#llms #bigbenchmistake #bigbenchdatasets #apibasedllms #usingllmstocorrecterrors #reasoncapacitiesofllms #posthoccorrection #selfcorrectionmethofs
https://hackernoon.com/using-llms-to-correct-reasoning-mistakes-related-works-that-you-should-know-about
#llms #bigbenchmistake #bigbenchdatasets #apibasedllms #usingllmstocorrecterrors #reasoncapacitiesofllms #posthoccorrection #selfcorrectionmethofs
https://hackernoon.com/using-llms-to-correct-reasoning-mistakes-related-works-that-you-should-know-about
Hackernoon
Using LLMs to Correct Reasoning Mistakes: Related Works That You Should Know About | HackerNoon
This paper explores few-shot in-context learning methods, which is typically used in realworld applications with API-based LLMs