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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.

4 papers in our library · 2009–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

2010s

2000s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…
  3. 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…
  4. 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

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. 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
  2. Continuous Time Dynamic Topic Models ↗arXiv (Cornell University) · no summary yetChong Wang, David M. Blei, David E. Heckerman2012 · 319 citations
  3. Markov Topic Models ↗no summary yetChong Wang et al.2009 · 44 citations

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 254 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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