23 citations · 28 across the 8 of their papers we have counts for
8 papers
Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Yuyan Chen, Tianhao Yu, Yueze Li +4
The evaluation of the problem-solving capability under incomplete information scenarios of Large Language Models (LLMs) is increasingly important, encompassing capabilities such as…
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
Qianyu He, Yikai Zhang, Jiaqing Liang +3
Similes play an imperative role in creative writing such as story and dialogue generation. Proper evaluation metrics are like a beacon guiding the research of simile generation (SG…
Generative Entity Typing with Curriculum Learning
Siyu Yuan, Deqing Yang, Jiaqing Liang +4
Entity typing aims to assign types to the entity mentions in given texts. The traditional classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to…
Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning
Ailisi Li, Xueyao Jiang, Bang Liu +2
Math Word Problems (MWP) is an important task that requires the ability of understanding and reasoning over mathematical text. Existing approaches mostly formalize it as a generati…
Rule Mining over Knowledge Graphs via Reinforcement Learning
Lihan Chen, Sihang Jiang, Jingping Liu +6
Knowledge graphs (KGs) are an important source repository for a wide range of applications and rule mining from KGs recently attracts wide research interest in the KG-related resea…
Revisiting the Negative Data of Distantly Supervised Relation Extraction
Chenhao Xie, Jiaqing Liang, Jingping Liu +3
Distantly supervision automatically generates plenty of training samples for relation extraction. However, it also incurs two major problems: noisy labels and imbalanced training d…