most citedImproving Large Language Models in Event Relation Logical Prediction

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs

Zijie Meng, Yan Zhang, Zhaopeng Feng +1

Large language models (LLMs) have shown impressive performance in reasoning benchmarks with the emergence of Chain-of-Thought (CoT), particularly in multi-choice question (MCQ). Ho…

cs.AI2023★ 1 cited

Improving Large Language Models in Event Relation Logical Prediction

Meiqi Chen, Yubo Ma, Kaitao Song +3

Event relations are crucial for narrative understanding and reasoning. Governed by nuanced logic, event relation extraction (ERE) is a challenging task that demands thorough semant…