Ludi Wang — accepted AI-conference papers

2026

CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis Science

Xueqing Chen, Jian Xu, Ludi Wang, Yang Gao, Huihan Zhu, Yi Du +2

ICLR 2026poster

The discovery of novel catalytic materials is a cornerstone of chemical engineering and sustainable energy, yet it remains a complex, knowledge-intensive process. While Large Language Models (LLMs) have demonstrated remarkable potential in various scientific domains, their application to catalysis i…

Cited by 0 Source ↗Scholar ↗

2024

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation

Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du

COLING 2024main

Continuous Relation Extraction (CRE) aims to incrementally learn relation knowledge from a non-stationary stream of data. Since the introduction of new relational tasks can overshadow previously learned information, catastrophic forgetting becomes a significant challenge in this domain. Current repl…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗