12 citations · 22 across the 5 of their papers we have counts for
5 papers
Rethinking Experience Utilization in Self-Evolving Language Model Agents
Weixiang Zhao, Yingshuo Wang, Yichen Zhang +6
Self-evolving agents improve by accumulating and reusing experience from past interactions. Existing work has largely focused on how experience is constructed, represented, and upd…
TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question Answering
Yueqing Sun, Yu Zhang, Le Qi +1
Unsupervised commonsense question answering requires mining effective commonsense knowledge without the rely on the labeled task data. Previous methods typically retrieved from tra…
Deep Reinforcement Learning for Chinese Zero pronoun Resolution
Qingyu Yin, Yu Zhang, Weinan Zhang +2
Deep neural network models for Chinese zero pronoun resolution learn semantic information for zero pronoun and candidate antecedents, but tend to be short-sighted---they often make…
Neural Recovery Machine for Chinese Dropped Pronoun
Wei-Nan Zhang, Ting Liu, Qingyu Yin +1
Dropped pronouns (DPs) are ubiquitous in pro-drop languages like Chinese, Japanese etc. Previous work mainly focused on painstakingly exploring the empirical features for DPs recov…
A Deep Neural Network for Chinese Zero Pronoun Resolution
Qingyu Yin, Weinan Zhang, Yu Zhang +1
Existing approaches for Chinese zero pronoun resolution overlook semantic information. This is because zero pronouns have no descriptive information, which results in difficulty in…