14 papers · 1 filter
Wikipedia in the Era of LLMs: Evolution and Risks
Siming Huang, Yuliang Xu, Mingmeng Geng +2
In this paper, we present a comprehensive analysis and monitoring framework for the impact of Large Language Models (LLMs) on Wikipedia, examining the evolution of Wikipedia throug…
code_transformed: The Influence of Large Language Models on Code
Yuliang Xu, Siming Huang, Mingmeng Geng +3
Coding remains one of the most fundamental modes of interaction between humans and machines. With the rapid advancement of Large Language Models (LLMs), code generation capabilitie…
Are We on the Right Way to Assessing LLM-as-a-Judge?
Yuanning Feng, Sinan Wang, Zhengxiang Cheng +2
LLM-as-a-Judge has been widely adopted as an evaluation method and served as supervised rewards in model training. However, existing benchmarks for LLM-as-a-Judge are mainly relyin…
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang, Siyuan Wu, Chujie Gao +8
Large Language Models (LLMs) such as GPT-4 and Llama3 have significantly impacted various fields by enabling high-quality synthetic data generation and reducing dependence on expen…
Paper2Web: Let's Make Your Paper Alive!
Yuhang Chen, Tianpeng Lv, Siyi Zhang +4
Academic project websites can more effectively disseminate research when they clearly present core content and enable intuitive navigation and interaction. However, current approac…
Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
Wenxuan Shen, Mingjia Wang, Yaochen Wang +4
Retrieval-Augmented Generation (RAG) systems using Multimodal Large Language Models (MLLMs) show great promise for complex document understanding, yet their development is critical…