most citedIs In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

2 citations · 5 across the 10 of their papers we have counts for

collaborators
Showing cs.SEShow all

2 papers · 1 filter

cs.SE2026

PRAXIS: Graph-Grounded Tacit Knowledge for Domain Code Generation

Xue Jiang, Tianyu Zhang, Lingwei Wu +7

LLM agents have achieved strong performance on general software engineering tasks, yet struggle with domain-specific code generation. We identify the root cause as the agent's lack…

cs.SE2026

KOCO-BENCH: Can Large Language Models Leverage Domain Knowledge in Software Development?

Xue Jiang, Ge Li, Jiaru Qian +12

Large language models (LLMs) excel at general programming but struggle with domain-specific software development, necessitating domain specialization methods for LLMs to learn and…