7 papers · 1 filter
BiT-MCTS: A Theme-based Bidirectional MCTS Approach to Chinese Fiction Generation
Zhaoyi Li, Xu Zhang, Xiaojun Wan
Generating long-form linear fiction from open-ended themes remains a major challenge for large language models, which frequently fail to guarantee global structure and narrative di…
HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy
Fan Xu, Xinyu Hu, Zhenghan Yu +6
The increasing reliance on natural language generation (NLG) models, particularly large language models, has raised concerns about the reliability and accuracy of their outputs. A…
C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation
Xu Zhang, Zhifei Liu, Jiahao Wang +4
Despite the rapid advancement of large language models, they remain highly susceptible to generating hallucinations, which significantly hinders their widespread application. Hallu…
ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions
Xu Zhang, Xunjian Yin, Xiaojun Wan
While substantial advancements have been made in developing large language models (LLMs), achieving control over their behavior can be difficult. Direct preference optimization (DP…
Enhancing Jailbreak Attacks with Diversity Guidance
Xu Zhang, Dinghao Jing, Xiaojun Wan
As large language models(LLMs) become commonplace in practical applications, the security issues of LLMs have attracted societal concerns. Although extensive efforts have been made…
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation
Xunjian Yin, Xu Zhang, Jie Ruan +1
In recent years, substantial advancements have been made in the development of large language models, achieving remarkable performance across diverse tasks. To evaluate the knowled…