Wei Wei

Agentic workflows are commonly used to guide large language models in solving complex reasoning tasks. However, existing automated workflow generation methods primarily rely on stepwise local refinement or tree-based search over a single evolving workflow. Under limited optimization budgets, this...

Complex table question answering (TQA) remains challenging, as real-world table, usually designed for human readability with multi-level headers and fragmented hierarchical semantics, largely hindering large language models (LLMs) from accurately aligning conditions, attributes, and values during...

Multimodal Sentiment Analysis (MSA) often suffers from performance degradation due to missing modalities in practical applications. Existing methods typically focus on feature completion but neglect semantic shifts caused by distribution gaps and decision risks under high uncertainty. In this pap...