Xuantao Lu — accepted AI-conference papers

2025

MoDification: Mixture of Depths Made Easy

Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu +5

NAACL 2025long

Long-context efficiency has recently become a trending topic in serving large language models (LLMs). And mixture of depths (MoD) is proposed as a perfect fit to bring down both latency and memory. In this paper, however, we discover that MoD can barely transform existing LLMs without costly trainin…

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2022

Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning

Xuantao Lu, Jingping Liu, Zhouhong Gu, Hanwen Tong, Chenhao Xie, Junyang Huang +2

COLING 2022main

Semantic parsing converts natural language utterances into structured logical expressions. We consider two such formal representations: Propositional Logic (PL) and First-order Logic (FOL). The paucity of labeled data is a major challenge in this field. In previous works, dual reinforcement learning…

Cited by 22 Source ↗PDF ↗Scholar ↗