Si-Qing Chen
Si-Qing Chen has 2 papers in our library, in 2023–2026, most of them on Information retrieval & search, Efficient models & compression; often with Tao Ge, Baolin Peng, Furu Wei.
OpenAlex · ORCID · h-index 15 · 148 works · 957 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 229 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6790
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workInformation retrieval & search · 1 work
Works by year
2020s
Papers
- Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation (2023 · 103 citations)
Autoregressive (AR) decoding produces one token per step. This leaves GPUs underused and makes Transformer inference slow and costly. The authors revisit the draft-then-verify paradigm, borrowing the concept of speculative execution from computer architecture. A drafter proposes several future tokens cheaply, and the… - LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval (2026)
The paper tackles agentic document editing: an AI agent applies localized changes to long, structured documents from high-level instructions.
All works
- In-context Autoencoder for Context Compression in a Large Language Model ↗arXiv:2307.06945 · no summary yetTao Ge et al.2023 · 114 citations
- Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq GenerationFindings of the Association for Computational LinguisticsHeming Xia, Tao Ge, Peiyi Wang, et al.2023 · 103 citations
- Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models ↗arXiv:2402.13064 · no summary yetHaoran Li et al.2024 · 65 citations
- LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph RetrievalFindings of the Association for Computational LinguisticsHang Wang, Utkarsh Garg, Reza Davari, et al.2026
- A User-Centered Evaluation of Spanish Text Simplification ↗arXiv:2308.07556 · no summary yetAdrian de Wynter, Anthony Hevia, Si-Qing Chen2023
Co-authors here
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 2023
Cited by
Updated
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