3 citations · 7 across the 4 of their papers we have counts for
5 papers
Lookahead-then-Verify: Reliable Constrained Decoding for Diffusion LLMs under Context-Free Grammars
Yitong Zhang, Yongmin Li, Yuetong Liu +4
Diffusion Large Language Models (dLLMs) have demonstrated promising generative capabilities and are increasingly used to produce formal languages defined by context-free grammars,…
LongCat-Flash Technical Report
Meituan LongCat Team, Bayan, Bei Li +179
We introduce LongCat-Flash, a 560-billion-parameter Mixture-of-Experts (MoE) language model designed for both computational efficiency and advanced agentic capabilities. Stemming f…
Reasoning Runtime Behavior of a Program with LLM: How Far Are We?
Junkai Chen, Zhiyuan Pan, Xing Hu +3
Large language models for code (i.e., code LLMs) have shown strong code understanding and generation capabilities. To evaluate the capabilities of code LLMs in various aspects, man…
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
Xin-Cheng Wen, Cuiyun Gao, Feng Luo +3
Prior studies generally focus on software vulnerability detection and have demonstrated the effectiveness of Graph Neural Network (GNN)-based approaches for the task. Considering t…
Deep Learning Based Code Generation Methods: Literature Review
Zezhou Yang, Sirong Chen, Cuiyun Gao +3
This paper focuses on Code Generation task that aims at generating relevant code fragments according to given natural language descriptions. In the process of software development,…