Self-collaboration code generation via ChatGPT

Cited by (572)

Items 201–300 of 572

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42. ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation
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43. How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks
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44. Advancing LLM-Generated Code Reliability: A Hybrid Approach for Hallucination Detection
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45. Designing LLM-based Multi-Agent Systems for Software Engineering Tasks: Quality Attributes, Design Patterns and Rationale
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46. Building from Scratch: A Multi-Agent Framework with Human-in-the-Loop for Multilingual Legal Terminology Mapping
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47. LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
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48. Demonstrations of Integrity Attacks in Multi-Agent Systems
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49. CP-AgentNet: Autonomous and Explainable Communication Protocol Design Using Generative Agents
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50. From An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle
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51. Automated Prompt Engineering for Cost-Effective Code Generation Using Evolutionary Algorithms
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52. Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping
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59. Multi-Agent Assisted Automatic Test Generation for Java JSON Libraries
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71. Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study
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