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Found 3 papers, 3 papers with code
RoT: Enhancing Large Language Models with Reflection on Search Trees
It uses a strong LLM to summarize guidelines from previous tree search experiences to enhance the ability of a weak LLM.
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
Since the dataset only involves a narrow range of knowledge, it is easy to separately analyse the knowledge a model possesses and the reasoning ability it has.
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing
We also found MCCE is very effective in fine-grained (130 types) and coarse-grained (9 types) entity typing.
Ranked #2 on
Entity Typing
on Open Entity
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