Luo Si
Luo Si has 4 papers in our library, in 2020–2022, most of them on Language models & pretraining, Low-resource languages, Evaluation & benchmarks; often with Lidong Bing, Bosheng Ding, Linlin Liu.
OpenAlex · ORCID · Wikidata · h-index 59 · 338 works · 11,597 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 379 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #2998
Affiliations
Concepts, shelves and topics
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workLow-resource languages · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation (2021 · 204 citations)
Adapter-based tuning inserts small trainable modules into a frozen pretrained language model (PrLM). Earlier work valued it mainly for saving parameters. This paper asks a different question: when does it actually beat full fine-tuning? The authors use the Houlsby et al. adapter design. Each transformer layer gets… - DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks (2020 · 203 citations)
Sequence tagging tasks label every token, so they are easily hurt by noisy augmented data. Common augmentation strategies also depend on resources that low-resource languages often lack, such as WordNet, bilingual corpora or in-domain weak taggers. DAGA addresses this by generating new labeled sentences from scratch. - RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction (2022 · 141 citations)
Most relation extraction systems need large annotated datasets and only handle a fixed set of relation types. - CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark (2021 · 71 citations)
Biomedical NLP evaluation resources such as BLURB and PubMedQA are almost entirely English. Chinese, spoken by roughly a quarter of humanity, has had no shared yardstick for medical language understanding. The authors address this with CBLUE, which they describe as the first Chinese benchmark of its kind. It combines…
All works
- On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationRuidan He, Linlin Liu, Hai Ye, et al.Annual Meeting of the Association for Computational Linguistics (ACL) · 204 citations
- DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging TasksBosheng Ding, Linlin Liu, Lidong Bing, et al.Conference on Empirical Methods in Natural Language Processing (EMNLP) · 203 citations
- StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding · original ↗ · no summary yet · arXiv:1908.04577Wei Wang et al.2019 · 174 citations
- RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionYew Ken Chia, Lidong Bing, Soujanya Poria, et al.Findings of the Association for Computational Linguistics · 141 citations
- "Bilingual Expert" Can Find Translation Errors · original ↗ · no summary yet · arXiv:1807.09433Kai Fan et al.2018 · 82 citations
- CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkNingyu Zhang, Mosha Chen, Zhen Bi, et al.arXiv:2106.08087 · 71 citations
- Alibaba Submission for WMT18 Quality Estimation Task · original ↗ · no summary yet · Proceedings of the Third Conference on Machine Translation: Shared Task PapersJiayi Wang et al.2018 · 57 citations
- Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? · original ↗ · no summary yet · Proceedings of the 2022 Conference on Empirical Methods in Natural Language…Pei Zhang et al.2022 · 3 citations
Co-authors here
- Lidong Bing ×3
- Bosheng Ding ×2
- Linlin Liu ×2
- Canasai Kruengkrai
- Chuanqi Tan
- Chunyan Miao
- Fei Huang
- Lei Li
- Liying Cheng
- Ningyu Zhang
- Qingyu Tan
- Ruidan He
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2020
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2021
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2022
- Proceedings of the Third Conference on Machine Translation…
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