activity
20232026
most citedUHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

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.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.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…

cs.CL2024

Xinyu: An Efficient LLM-based System for Commentary Generation

Yiquan Wu, Bo Tang, Chenyang Xi +13

Commentary provides readers with a deep understanding of events by presenting diverse arguments and evidence. However, creating commentary is a time-consuming task, even for skille…

cs.CL2023★ 16 cited

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation

Xun Liang, Shichao Song, Simin Niu +8

Large language models (LLMs) have emerged as pivotal contributors in contemporary natural language processing and are increasingly being applied across a diverse range of industrie…