Zuchao Li
Zuchao Li has 3 papers in our library, in 2018–2021, most of them on Semantic role labeling, Syntax & grammar formalisms, Dependency parsing; often with Hai Zhao, Shexia He, Jiaxun Cai.
OpenAlex · ORCID · Wikidata · h-index 23 · 145 works · 1,929 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 199 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #3769
Affiliations
Concepts, shelves and topics
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 4Research subjects and languages the work is about.Dependency parsing · 1 workSemantic role labeling · 2 worksSyntax & grammar formalisms · 2 worksEnglish · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Semantic role labeling · 1 work
Works by year
2020s
2010s
Papers
- Syntax for Semantic Role Labeling, To Be, Or Not To Be (2018 · 212 citations)
Some recent neural semantic role labeling (SRL) systems perform very well without any syntactic input. This raises the question of whether dependency parses still help. He et al. examine this for dependency-based SRL. - Seq2seq Dependency Parsing (2018 · 153 citations)
Earlier seq2seq dependency parsers did not output trees directly. They generated sequences of transition actions, so a transition algorithm was still needed to build the final structure. Li et al. remove this dependence. Their encoder–decoder model has a BiLSTM encoder and an LSTM decoder with attention. For every… - Syntax Role for Neural Semantic Role Labeling (2021 · 29 citations)
Early neural SRL systems matched or beat syntax-heavy models without any parse input, so it became unclear whether syntax still matters for semantic role labeling.
All works
- Syntax for Semantic Role Labeling, To Be, Or Not To BeAnnual Meeting of the Association for Computational Linguistics (ACL)Shexia He, Zuchao Li, Hai Zhao, et al.2018 · 212 citations
- Seq2seq Dependency ParsingInternational Conference on Computational Linguistics (COLING)Zuchao Li, Jiaxun Cai, Shexia He, et al.2018 · 153 citations
- Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models ↗arXiv:2305.16582 · no summary yetYao Yao, Zuchao Li, Hai Zhao2023 · 52 citations
- Syntax Role for Neural Semantic Role LabelingComputational LinguisticsZuchao Li, Hai Zhao, Shexia He, et al.2021 · 29 citations
- SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZicong Tang et al.2025 · 9 citations
- Faster MoE LLM Inference for Extremely Large Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetHaoqi Yang et al.2026 · 8 citations
- Unsupervised Neural Machine Translation with Universal Grammar ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetZuchao Li et al.2021 · 8 citations
- KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShi Luohe et al.2025 · 6 citations
- RACER: Retrieval-Augmented Contextual Rapid Speculative Decoding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetZihong Zhang et al.2026 · 1 citation
- From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiangyu Ma et al.2026
- PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYao Yao et al.2026
- TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYi Zhao et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×5: ACL 2018
- Findings of the Association for Computational Linguistics: ACL 2026 ×3
- Computational Linguistics: Computational Linguistics 2021
- International Conference on Computational Linguistics (COLING): COLING 2018
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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