1 citations · 1 across the 5 of their papers we have counts for
5 papers
LongNovel: A Multi-Scale Benchmark for Hallucination Detection in Long-Context Novel Summarization
Ruizhi Zhang, Jinwei Chen, Xiangju Lu +4
Although context windows have expanded significantly in recent years, hallucinations in long-context summarization remain a challenge. Long novels are better suited than news or pa…
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
Lingxiao Wei, He Yan, Xiangju Lu +3
Large language models (LLMs) have been well-researched in various long-context tasks. However, the scarcity of long-context summarization datasets hinders progress in this area. To…
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
Xiaodong Wu, Minhao Wang, Yichen Liu +5
As Large Language Models (LLMs) evolve in natural language processing (NLP), their ability to stably follow instructions in long-context inputs has become critical for real-world a…
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training
Chang Su, Jiexing Qi, He Yan +2
Semantic parsing that translates natural language queries to SPARQL is of great importance for Knowledge Graph Question Answering (KGQA) systems. Although pre-trained language mode…
Inherent limitations of LLMs regarding spatial information
He Yan, Xinyao Hu, Xiangpeng Wan +3
Despite the significant advancements in natural language processing capabilities demonstrated by large language models such as ChatGPT, their proficiency in comprehending and proce…