Papers by Changcheng Li
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification (P19-1)
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| Challenge: | Existing methods to extract information from evidence are unable to grasp relational and logical information among the evidence. |
| Approach: | They propose a graph-based evidence aggregating and reasoning framework to integrate evidence from multiple pieces of evidence. |
| Outcome: | The proposed framework achieves significant performance improvements on a large-scale benchmark dataset. |
A Syntactic and Semantic Probe into Language Evolution based on Large Language Models (2026.findings-acl)
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| Challenge: | Existing studies on language evolution have relied on manual annotated resources and rely on dependency parsing. |
| Approach: | They propose to use attention-based structural distance and semantic space distance to measure language development. |
| Outcome: | The proposed measures show that human and LLMs share common characteristics in language processing. |