Peiyu Liu
Peiyu Liu has 3 papers in our library, in 2026, most of them on Code & programming languages, Semantic parsing & meaning representation, Efficient models & compression; often with Runyu Chen, Hongjin Qian, Wei Hong Xu.
OpenAlex · ORCID · Wikidata · h-index 1 · 4 works · 1 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11079
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksInformation Systems · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 1 workComputer Networks and Communications · 1 work
🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 1 workCode & programming languages · 1 workSemantic parsing & meaning representation · 1 work
Works by year
2020s
Papers
- LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams (2026 · 1 citation)
Current long-context benchmarks are built mostly from polished written text. Real conversational speech is different: it is full of fillers, repetition, fragmented syntax and topic shifts. The authors address this gap with LiveLongBench, a benchmark built from transcripts of Douyin e-commerce live streams. Its… - Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection (2026 · 1 citation)
The paper tackles a trade-off in Binary Code Similarity Detection (BCSD), which supports tasks such as vulnerability search, malware analysis and plagiarism detection. - Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks (2026)
Text-to-SQL research has produced many strong methods, but each solves a narrow sub-problem and comes with its own data formats and interfaces.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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