3 papers
cs.LG2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
Dingshuo Chen, Zhixun Li, Yuyan Ni +6
With the emergence of various molecular tasks and massive datasets, how to perform efficient training has become an urgent yet under-explored issue in the area. Data pruning (DP),…
cs.CV2024
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
Junfei Wu, Qiang Liu, Ding Wang +4
Object hallucination has been an Achilles' heel which hinders the broader applications of large vision-language models (LVLMs). Object hallucination refers to the phenomenon that t…
cs.CL2024
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
Yuwei Xia, Ding Wang, Qiang Liu +3
Temporal Knowledge Graph (TKG) forecasting aims to predict future facts based on given histories. Most recent graph-based models excel at capturing structural information within TK…