Chuyue Sun
Chuyue Sun has 4 papers in our library, in 2023–2024, most of them on Reasoning, Language models & pretraining, Evaluation & benchmarks; often with Clark Barrett, Ying Sheng, Brando Miranda.
OpenAlex · ORCID · Wikidata · h-index 5 · 12 works · 235 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 632 times in our library · ⭐ Paper Stars ranking: #3176
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 1 workHardware and Architecture · 1 workLanguage and Linguistics · 1 workSoftware · 2 worksComputational Theory and Mathematics · 2 worksInformation Systems · 1 work
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workCode & programming languages · 1 workReasoning · 2 worksEvaluation & benchmarks · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Retrieval-augmented generation · 1 work
Works by year
2020s
Papers
- SGLang: Efficient Execution of Structured Language Model Programs (2023 · 729 citations)
Modern LLM applications such as agents, few-shot evaluation, tree-of-thought search, RAG and JSON extraction rarely make a single model call. - Clover: Closed-Loop Verifiable Code Generation (2024 · 56 citations)
LLMs can now write code, but nothing reliably confirms that the output does what was intended. Clover (Closed-Loop Verifiable Code Generation) addresses this by treating correctness checking as a consistency problem. Each generated artifact must contain three parts: code, formal annotations (pre/postconditions, loop… - DafnyBench: A Benchmark for Formal Software Verification (2024 · 15 citations)
Formal verification can mathematically guarantee that code meets its specification, but it demands a lot of expert effort. - Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4 (2024 · 14 citations)
Machine learning agents that search for proofs in Lean 4 depend on an interface to the proof assistant. The standard Language Server Protocol was built for humans: it tracks cursor positions and offers no easy way to collect tactic data or to leave proof gaps for automation. Pantograph is an API and REPL written…
Co-authors here
- Clark Barrett ×3
- Ying Sheng ×3
- Brando Miranda
- Cody Hao Yu
- Federico Cassano
- Ion Gabriel Stoica
- Joseph E. Gonzalez
- Lianmin Zheng
- Max Tegmark
- Md Rakib Hossain Misu
- Oded Padon
- Sanmi Koyejo
Venues
- Lecture notes in computer science ×2: Lecture notes in computer science 2024 ×2
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
Cited by
Updated
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