7 citations · 8 across the 18 of their papers we have counts for
24 papers
ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation
Zheng Fang, Dongming Jin, Yihong dong +4
Large Language Models have emerged as programming assistants. However, the efficacy of code generation is constrained by the quality of input requirements, which are frequently amb…
Knowledge before Reasoning: EC-Reason-Bench, a Training-Free Diagnostic Benchmark for LLM Enzyme Classification
Linyu Li, Zhi Jin, Yichi Zhang +6
Enzyme function prediction is a hierarchical, knowledge-intensive form of protein function classification. Existing benchmarks expose an anomaly: general LLMs often get the coarse…
From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology
Dongming Jin, Zhi Jin, Yaotian Yang +5
Requirements elicitation interviews are crucial and time-consuming in requirements engineering, but heavily rely on the experience of requirements analysts. Although recent advance…
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
Jia Li, Ruiqi Bai, Yangkang Luo +7
Code generation refers to automatically producing executable programs from user requirements. Recently, researchers have explored approaches to enhance the correctness of generated…
When Modalities Remember: Continual Learning for Multimodal Knowledge Graphs
Linyu Li, Zhi Jin, Yichi Zhang +5
Real-world multimodal knowledge graphs (MMKGs) are dynamic, with new entities, relations, and multimodal knowledge emerging over time. Existing continual knowledge graph reasoning…
ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation
Dongming Jin, Zhi Jin, Zheng Fang +4
With the rapid improvement of LLMs' coding capabilities, the bottleneck of LLM-based automated software development is shifting from generating correct code to eliciting users' req…