3 papers
cs.CL2026
Structure-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation for Web Information Systems
Boxiang Zhao, Qince Li, Zhonghao Wang +4
As Large Language Models (LLMs) evolve into the core of Web-based autonomous agents and complex Web Information Systems, their ability to faithfully translate natural language into…
cs.AI2026
Bridging the Arithmetic Gap: The Cognitive Complexity Benchmark and Financial-PoT for Robust Financial Reasoning
Boxiang Zhao, Qince Li, Zhonghao Wang +3
While Large Language Models excel at semantic tasks, they face a critical bottleneck in financial quantitative reasoning, frequently suffering from "Arithmetic Hallucinations" and…
cs.CV2024
A New Method to Capturing Compositional Knowledge in Linguistic Space
Jiahe Wan
Compositional understanding allows visual language models to interpret complex relationships between objects, attributes, and relations in images and text. However, most existing m…