activity
20232026
most citedFELM: Benchmarking Factuality Evaluation of Large Language Models

12 citations · 37 across the 28 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CL2025

Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems

Xuxin Cheng, Ke Zeng, Zhiquan Cao +65

Enhancing customer experience is essential for business success, particularly as service demands grow in scale and complexity. Generative artificial intelligence and Large Language…

cs.CL2025

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Zijian Wu, Xiangyan Liu, Xinyuan Zhang +12

MCP standardizes how LLMs interact with external systems, forming the foundation for general agents. However, existing MCP benchmarks remain narrow in scope: they focus on read-hea…

cs.CL2025

The Emergence of Abstract Thought in Large Language Models Beyond Any Language

Yuxin Chen, Yiran Zhao, Yang Zhang +7

As large language models (LLMs) continue to advance, their capacity to function effectively across a diverse range of languages has shown marked improvement. Preliminary studies ob…

cs.CL2025

Disentangling Language and Culture for Evaluating Multilingual Large Language Models

Jiahao Ying, Wei Tang, Yiran Zhao +3

This paper introduces a Dual Evaluation Framework to comprehensively assess the multilingual capabilities of LLMs. By decomposing the evaluation along the dimensions of linguistic…

cs.CL2025

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models

Yihuai Hong, Yiran Zhao, Wei Tang +3

Over time, a growing wave of large language models from various series has been introduced to the community. Researchers are striving to maximize the performance of language models…

cs.CL2025

Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers

Yiran Zhao, Chaoqun Liu, Yue Deng +8

Large language models (LLMs) have revolutionized natural language processing (NLP), yet open-source multilingual LLMs remain scarce, with existing models often limited in language…

cs.CL2025

Unnatural Languages Are Not Bugs but Features for LLMs

Keyu Duan, Yiran Zhao, Zhili Feng +9

Large Language Models (LLMs) have been observed to process non-human-readable text sequences, such as jailbreak prompts, often viewed as a bug for aligned LLMs. In this work, we pr…