LLMs frequently generate rational plans for multi-step questions but often fail to produce answers, and a new Franklin dataset is especially hard for them.
In The Eleventh International Conference on Learning Representations
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering
LLMs frequently generate rational plans for multi-step questions but often fail to produce answers, and a new Franklin dataset is especially hard for them.