Chong Wang
Chong Wang has 4 papers in our library, in 2009–2026, most of them on Code & programming languages, Language models & pretraining, Evaluation & benchmarks; often with Bryan Routledge, Dani Yogatama, David M. Blei.
OpenAlex · ORCID · h-index 9 · 18 works · 2,517 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 254 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1440
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 2 worksSocial Sciences · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workGeneral Social Sciences · 1 workInformation Systems · 2 worksSoftware · 2 worksComputer Networks and Communications · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workCode & programming languages · 2 worksEvaluation & benchmarks · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Topic modeling · 1 work
Works by year
2020s
2010s
2000s
Papers
- Reading Tea Leaves: How Humans Interpret Topic Models (2009 · 2,053 citations)
Topic models are routinely praised for producing meaningful themes, yet their quality is usually judged only by predictive fit, such as perplexity or held-out likelihood. - Dynamic Language Models for Streaming Text (2014 · 32 citations)
Most language models assume word distributions stay fixed over time. That assumption fits poorly with fast-changing streams like news and social media. Yogatama et al. propose a probabilistic language model whose parameters evolve daily and can depend on observable non-text signals, here stock market movements. Each… - RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories (2026 · 1 citation)
Most benchmarks for secure code generation use synthetic flaws or isolated snippets. They also tend to judge functionality and security separately, which misses vulnerabilities arising from data flows across a whole repository. RealSec-bench addresses this with Java tasks taken from real repositories. The authors… - Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults (2026 · 1 citation)
LLM agents locate buggy files well on moderate-size Python projects such as SWE-bench, but it was unclear whether this holds for the Linux kernel.
All works
- Reading Tea Leaves: How Humans Interpret Topic ModelsConference on Neural Information Processing Systems (NeurIPS)Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,053 citations
- Continuous Time Dynamic Topic Models ↗arXiv (Cornell University) · no summary yetChong Wang, David M. Blei, David E. Heckerman2012 · 319 citations
- Markov Topic Models ↗no summary yetChong Wang et al.2009 · 44 citations
- Dynamic Language Models for Streaming TextTransactions of the Association for Computational Linguistics (TACL)Dani Yogatama, Chong Wang, Bryan R. Routledge, et al.2014 · 32 citations
- RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World RepositoriesFindings of the Association for Computational LinguisticsYanlin Wang, Ziyao Zhang, Chong Wang, et al.2026 · 1 citation
- Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel FaultsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenhao Zhou, Zhuochen Huang, Yike He, et al.2026 · 1 citation
Co-authors here
- Bryan Routledge
- Dani Yogatama
- David M. Blei
- Eric P. Xing
- Jiachi Chen
- Jonathan Chang
- Jordan Boyd-Graber
- Mingwei Liu
- Noah A. Smith
- Yanlin Wang
- Yong Wang
- Zhenhao Zhou
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2009
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2014
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/chong-wang/