29 citations · 72 across the 11 of their papers we have counts for
11 papers
ZenGen: Social Mind for LLMs
ZenGen Team, Ao Xiang, Bi Jingping +57
As large language models move from isolated task solving toward long-term service in human environments, they require social intelligence: the ability to infer mental states, track…
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
Yilong Xu, Jinhua Gao, Xiaoming Yu +4
Retrieval-Augmented Language Models boost task performance, owing to the retriever that provides external knowledge. Although crucial, the retriever primarily focuses on semantics…
ALiiCE: Evaluating Positional Fine-grained Citation Generation
Yilong Xu, Jinhua Gao, Xiaoming Yu +3
Large Language Model (LLM) can enhance its credibility and verifiability by generating text with citations. However, existing research on citation generation is predominantly limit…
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Yan Jiang, Jinhua Gao, Huawei Shen +1
Stance detection aims to identify whether the author of a text is in favor of, against, or neutral to a given target. The main challenge of this task comes two-fold: few-shot learn…
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction
Qi Cao, Huawei Shen, Yuanhao Liu +2
Predicting the popularity of online content is a fundamental problem in various applications. One practical challenge takes roots in the varying length of observation time or predi…
Modelling Universal Order Book Dynamics in Bitcoin Market
Fabin Shi, Nathan Aden, Shengda Huang +7
Understanding the emergence of universal features such as the stylized facts in markets is a long-standing challenge that has drawn much attention from economists and physicists. M…
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Bingbing Xu, Junjie Huang, Liang Hou +3
Graph neural networks (GNNs) achieve remarkable success in graph-based semi-supervised node classification, leveraging the information from neighboring nodes to improve the represe…
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao, Huawei Shen, Jinhua Gao +2
Predicting the popularity of online content on social platforms is an important task for both researchers and practitioners. Previous methods mainly leverage demographics, temporal…
ANAE: Learning Node Context Representation for Attributed Network Embedding
Keting Cen, Huawei Shen, Jinhua Gao +3
Attributed network embedding aims to learn low-dimensional node representations from both network structure and node attributes. Existing methods can be categorized into two groups…
The Second Data Release of the Beijing-Arizona Sky Survey
Hu Zou, Tianmeng Zhang, Zhimin Zhou +28
This paper presents the second data release (DR2) of the Beijing-Arizona Sky Survey (BASS). BASS is an imaging survey of about 5400 deg in and bands using the 2.3 m Bok…
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Yongqing Wang, Shenghua Liu, Huawei Shen +1
We are now witnessing the increasing availability of event stream data, i.e., a sequence of events with each event typically being denoted by the time it occurs and its mark inform…