Yi Cai

Computer-aided design (CAD) is crucial in prototyping complex 3D objects through precise geometric modeling. In practical design workflows, designers manually define assembly sequences for individual CAD parts, a process that is both time-consuming and expertise-intensive. To address this challen...

While Large Language Models (LLMs) exhibit strong semantic capabilities, their resilience to manipulative linguistic patterns such as logical fallacies remains an underexplored area. Prior work has focused on the ability of LLMs to identify or classify fallacies, but their robustness against thes...

With the rapid advancement of large language models (LLMs), automated code generation has made remarkable progress. Recent studies explore multi-agent collaboration and adopt planning–coding–debugging workflows to enhance performance. However, these approaches are constrained by rigid, predefined...

Large Language Models (LLMs) have shown remarkable capabilities in automating code generation. Recent approaches that incorporate feedback refinement mechanisms into the generation process have further enhanced software generation quality. However, these methods can be characterized as single-pat...

Multi-round batch knowledge editing often suffers from performance degradation as edits accumulate. Focusing on the locate-then-edit paradigm, we analyze this phenomenon from a spectral perspective and identify a previously overlooked structural factor: the intrinsic knowledge of the model and hi...

Metaphorical text expresses meaning through cross-domain mappings rather than literal surface content, which makes it difficult for text-to-image systems to generate semantically faithful images. We propose CMIG, a structured prompting framework inspired by Conceptual Metaphor Theory (CMT). CMIG...

Recent advancements in large language models (LLMs) have demonstrated their remarkable capabilities in natural language understanding and generation. However, these models still struggle with formal logical reasoning, often producing coherent yet invalid conclusions due to limitations in represen...

Repository-level code generation has attracted growing interest, yet most benchmarks and methods remain maintainer-centric, emphasizing bug fixing and feature implementation. In contrast, a common yet underexplored scenario is repository usage: external users want to build applications by correct...