BIG-Bench Mistake: What Is It?
#llms #bigbenchmistake #costyletraces #automatedannotation #dycklanguages #bigbenchdatasets #humanannotation #llmmistakefinding
https://hackernoon.com/big-bench-mistake-what-is-it
#llms #bigbenchmistake #costyletraces #automatedannotation #dycklanguages #bigbenchdatasets #humanannotation #llmmistakefinding
https://hackernoon.com/big-bench-mistake-what-is-it
Hackernoon
BIG-Bench Mistake: What Is It? | HackerNoon
BIG-Bench Mistake consists of 2186 sets of CoTstyle traces. Each trace was generated by PaLM 2-L-Unicorn
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.