Papers by Ludi Wang
Autodive: An Integrated Onsite Scientific Literature Annotation Tool (2023.acl-demo)
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| Challenge: | Annotating scientific literature directly on PDF documents can greatly improve the labeling efficiency of scientists whose annotation costs are very high. |
| Approach: | They propose an integrated onsite scientific literature annotation tool for natural scientists and Natural Language Processing (NLP) researchers. |
| Outcome: | The proposed tool supports the whole lifecycle of corpus generation including i)project management, ii)resource management, and iv)ontology management, as well as manual annotation, onsite auto annotation, and vi)task statistic. |
CITE: Benchmarking Heterogeneous Text-Attributed Graph Models (2026.acl-long)
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| Challenge: | Recent advances in large language models and text-aware graph learning have increased interest in reasoning over text-attributed graphs. |
| Approach: | They propose a large-scale heterogeneous text-attributed graph benchmark for catalytic materials that contains over 438K nodes and 1.2M edges . they establish standardized evaluation protocols for node classification and link prediction and conduct ablation studies to assess the impact of graph heterogenity and textual attributes. |
| Outcome: | The proposed benchmarks are compared to existing methods and provide a baseline for the evaluation of four classes of learning paradigms. |
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation (2024.lrec-main)
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| Challenge: | Existing methods for learning relational knowledge are replay-based and prioritize data uniformly . a pronounced bias towards new tasks can be caused by the introduction of new tasks . |
| Approach: | They propose a framework that decouples the process of prior information preservation and new knowledge acquisition. |
| Outcome: | Extensive experiments show that the framework outperforms baselines across two datasets. |