4 citations · 6 across the 2 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2024
DECIDER: A Dual-System Rule-Controllable Decoding Framework for Language Generation
Chen Xu, Tian Lan, Yu Ji +8
Constrained decoding approaches aim to control the meaning or style of text generated by the pre-trained large language models (LLMs or also PLMs) for various tasks at inference ti…
cs.CL2024★ 4 cited
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models
Jun Gao, Huan Zhao, Wei Wang +2
In this study, we present EventRL, a reinforcement learning approach developed to enhance event extraction for large language models (LLMs). EventRL utilizes outcome supervision wi…
cs.CL2023★ 2 cited
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction
Jun Gao, Huan Zhao, Yice Zhang +3
Information Extraction (IE) is an essential task in Natural Language Processing. Traditional methods have relied on coarse-grained extraction with simple instructions. However, wit…