80 citations · 85 across the 6 of their papers we have counts for
6 papers
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
Zhihan Zhang, Yixin Cao, Chenchen Ye +3
The digital landscape is rapidly evolving with an ever-increasing volume of online news, emphasizing the need for swift and precise analysis of complex events. We refer to the comp…
SCTc-TE: A Comprehensive Formulation and Benchmark for Temporal Event Forecasting
Yunshan Ma, Chenchen Ye, Zijian Wu +4
Temporal complex event forecasting aims to predict the future events given the observed events from history. Most formulations of temporal complex event are unstructured or without…
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction
Ruihao Shui, Yixin Cao, Xiang Wang +1
Large language models (LLMs) have demonstrated great potential for domain-specific applications, such as the law domain. However, recent disputes over GPT-4's law evaluation raise…
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
Zhiyuan Liu, Sihang Li, Yanchen Luo +5
Language Models (LMs) have demonstrated impressive molecule understanding ability on various 1D text-related tasks. However, they inherently lack 2D graph perception - a critical a…
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
Moxin Li, Wenjie Wang, Fuli Feng +3
Large Language Model (LLM) has demonstrated significant ability in various Natural Language Processing tasks. However, their effectiveness is highly dependent on the phrasing of th…
Explainable Reasoning over Knowledge Graphs for Recommendation
Xiang Wang, Dingxian Wang, Canran Xu +3
Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity be…