1 citations · 1 across the 4 of their papers we have counts for
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Enhancing Repository-Level Code Completion with Reinforcement Learning in Real-World Scenarios
Zhenlong Dai, Zhuoluo Zhao, Xiu Tang +4
The rapid development of large language models (LLMs) for code, which closely aligns with the practical needs of real-world software development, has sparked growing attention in r…
ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning
Zhenlong Dai, Xujie Song, Zitong Wang +7
Large language models (LLMs) excel at natural language processing but struggle to interact with external environments. Tool learning provides a promising way to extend LLMs into ac…
EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
Yunqi Liu, Tong Niu, Zitong Wang +4
As AI agents increasingly operate in open, real-world environments, they require a deep synergy of multimodal perception, tool invocation with multi-hop reasoning, and dynamic inte…
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
Zhenlong Dai, Zhuoluo Zhao, Hengning Wang +5
With the development of large language models (LLMs) in the field of programming, intelligent programming coaching systems have gained widespread attention. However, most research…