Papers by Sen Fang
GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL (2026.acl-long)
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| Challenge: | despite growing interest in NL2GQL, benchmarking progress has been constrained by the lack of resources that are simultaneously large-scale, cross-domain, and cross-dialect. |
| Approach: | They propose a framework that integrates NL2SQL-to-NL2GQL conversion with graph-native data generation. |
| Outcome: | The proposed framework supports execution-based evaluation on Cypher and ISO-GQL, covering hundreds of graph databases and over 20k natural language questions for each dialect. |
Knowledge Graph-Driven Memory Editing with Directional Interventions (2025.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) are hampered by inaccuracies and outdated information. |
| Approach: | They propose a framework that constructs knowledge graphs using available information to guide the direction of knowledge editing. |
| Outcome: | The proposed framework allows consistent, aligned, and stable information during large-scale editing scenarios. |
Stable Signer: Hierarchical Sign Language Generative Model (2026.acl-long)
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| Challenge: | Sign Language Production (SLP) is the process of converting complex input text into a real video. |
| Approach: | They propose a new sign language generative model that streamlines redundant structure and optimizes the task objective. |
| Outcome: | The proposed model streamlines redundant structure and optimizes objective . it generates high-quality and multi-style sign language videos with hand gestures . |