Papers by Cyril Zhang
Exploring Representation-level Augmentation for Code Search (2022.emnlp-main)
Copied to clipboard
| Challenge: | Recent data augmentations for code search are at the raw-data level, which requires additional code analysis and training cost. |
| Approach: | They propose a general format of representation-level augmentation that unifies existing methods. |
| Outcome: | The proposed methods can boost the performance of code search models on a large-scale dataset. |
ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles (2024.emnlp-main)
Copied to clipboard
Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daumé Iii, Cyril Zhang, Alex Lu, Danielle Bragg
| Challenge: | Deaf and hard-of-hearing students face significant barriers in accessing STEM education due to the scarcity of STEM resources in signed languages. |
| Approach: | They develop models to identify fingerspelled words in American Sign Language (ASL) given an English sentence and a video, the model detects which English phrase is fingerspelled in the clip. |
| Outcome: | ASL STEM Wiki is the first continuous signing dataset focused on STEM . it detects fingerspelled words and queries them for appropriate signs to suggest to interpreters. |
StatBot.Swiss: Bilingual Open Data Exploration in Natural Language (2024.findings-acl)
Copied to clipboard
Farhad Nooralahzadeh, Yi Zhang, Ellery Smith, Sabine Maennel, Cyril Matthey-Doret, Raphaël De Fondeville, Kurt Stockinger
| Challenge: | StatBot.Swiss dataset is the first bilingual benchmark for evaluating Text-to-SQL systems based on real-world applications. |
| Approach: | They propose to use a bilingual dataset to evaluate LLMs in Text-to-SQL systems. |
| Outcome: | The proposed dataset contains 455 natural language/SQL-pairs over 35 big databases with varying level of complexity for English and German. |