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Home/Authors/Lei Xie

Lei Xie

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Vision×1NLP×1AI×1Software Eng.×1Crypto×1

Frequent co-authors

Xinxin Liu1×
Shiwei Gan1×
Xiao Liu1×
Yafeng Yin1×
Sanglu Lu1×
Zheng Lu1×

Research Timeline

2026
LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification

LibScan is an automated framework that detects eight categories of smart contract library misuse by combining LLM-based semantic reasoning with rule-based analysis, achieving 85.15% accuracy on real-world contracts.

InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models

InfoMerge is a novel, training-free method that significantly compresses visual tokens for Video-LLMs by estimating temporal redundancy and allocating tokens based on content richness, achieving high efficiency with minimal performance loss.

Token Predictors Are Not Planners: Building Physically Grounded Causal Reasoners

The paper argues that current embodied planning benchmarks prioritize superficial language prediction over true physical reasoning, introducing new benchmarks and a large-scale dataset to demonstrate that physically grounded causal reasoning is necessary for reliable autonomous agents.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.CLRecentJun 1, 2026

InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models

Xinxin Liu, Shiwei Gan, Xiao Liu, Yafeng Yin +2 more

InfoMerge is a novel, training-free method that significantly compresses visual tokens for Video-LLMs by estimating temporal redundancy and allocating tokens based on content richness, achieving high…

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cs.AIRecentJun 1, 2026

Token Predictors Are Not Planners: Building Physically Grounded Causal Reasoners

Zheng Lu, Mingqi Gao, Qinlei Xie, Wanqi Zhong +7 more

The paper argues that current embodied planning benchmarks prioritize superficial language prediction over true physical reasoning, introducing new benchmarks and a large-scale dataset to demonstrate…

View →
cs.SEcs.CRRecentApr 1, 2026

LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification

Yishun Wang, Wenkai Li, Xiaoqi Li, Zongwei Li +2 more

LibScan is an automated framework that detects eight categories of smart contract library misuse by combining LLM-based semantic reasoning with rule-based analysis, achieving 85.15% accuracy on real-w…

View →