LLMs Cannot Find Reasoning Errors, but They Can Correct Them!
#llms #llmmistakefinding #llmoutputcorrection #bigbenchmistake #chainofthought #nlp #selfconsistency #zeroshotprompting
https://hackernoon.com/llms-cannot-find-reasoning-errors-but-they-can-correct-them
#llms #llmmistakefinding #llmoutputcorrection #bigbenchmistake #chainofthought #nlp #selfconsistency #zeroshotprompting
https://hackernoon.com/llms-cannot-find-reasoning-errors-but-they-can-correct-them
Hackernoon
LLMs Cannot Find Reasoning Errors, but They Can Correct Them! | HackerNoon
In this paper, we break down the self-correction process into two core components: mistake finding and output correction.
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