43 citations · 57 across the 9 of their papers we have counts for
5 papers · 1 filter
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
Ran Song, Shizhu He, Shengxiang Gao +4
Multilingual Knowledge Graph Completion (mKGC) aim at solving queries like (h, r, ?) in different languages by reasoning a tail entity t thus improving multilingual knowledge graph…
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
Tong Zhou, Yubo Chen, Kang Liu +1
Large language models have become integral to question-answering applications despite their propensity for generating hallucinations and factually inaccurate content. Querying know…
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
Zhuoran Jin, Pengfei Cao, Chenhao Wang +6
Large language models (LLMs) inevitably memorize sensitive, copyrighted, and harmful knowledge from the training corpus; therefore, it is crucial to erase this knowledge from the m…
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
Baoli Zhang, Haining Xie, Pengfan Du +6
The unprecedented performance of large language models (LLMs) requires comprehensive and accurate evaluation. We argue that for LLMs evaluation, benchmarks need to be comprehensive…
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database
Minjun Zhu, Yixuan Weng, Shizhu He +2
In Textual question answering (TQA) systems, complex questions often require retrieving multiple textual fact chains with multiple reasoning steps. While existing benchmarks are li…