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Valerie Chen

Valerie Chen has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Code & programming languages, Vision & language; often with Graham Neubig, Alex Gu, Alexis Ross.

3 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 10 · 66 works · 1,242 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 113 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #6170

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. 1 more institution 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

 Papers

The most cited first (OpenAlex and our library).

  1. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design (2024 · 140 citations)
    The paper asks whether LLMs react to changes in survey question wording the way people do. Humans show systematic response biases in surveys, so a model's sensitivity to prompt phrasing could be useful if it matched those human patterns. To test this, the authors took expert-written questions from Pew Research's…
  2. Scaling Collaborative Effort with Agents (2026 · 7 citations)
    This position paper argues that LLM agents are mostly built and judged as one-shot task finishers. That suits poorly the many real tasks where user goals are vague and change as work proceeds. The authors present five case studies (data analysis, travel planning, financial advising, education, math discovery). In…
  3. Coding Agents with Multimodal Browsing are Generalist Problem Solvers (2026 · 5 citations)
    Strong LLM agents for software engineering, deep research and web navigation are usually specialists. Each is built around tools and workflows tuned for a narrow set of benchmarks, so it breaks down outside its home domain. The authors ask whether a single agent with a small set of general-purpose tools can match…

All works

12 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows ↗CHI Conference on Human Factors in Computing Systems · no summary yetValerie Chen et al.2026 · 15 citations
  2. Copilot Arena: A Platform for Code LLM Evaluation in the Wild ↗arXiv (Cornell University) · no summary yetWayne Chi et al.2025 · 9 citations
  3. The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents ↗arXiv (Cornell University) · no summary yetXingyao Wang et al.2025 · 8 citations
  4. Scaling Collaborative Effort with AgentsFindings of the Association for Computational LinguisticsShannon Zejiang Shen, Valerie Chen, Ken Gu, et al.2026 · 7 citations
  5. Humans are Missing from AI Coding Agent Research ↗arXiv (Cornell University) · no summary yetZora Z. Wang et al.2026 · 6 citations
  6. How Well Does Agent Development Reflect Real-World Work? ↗arXiv (Cornell University) · no summary yetZora Zhiruo Wang et al.2026 · 5 citations
  7. EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits ↗arXiv (Cornell University) · no summary yetWayne Chi et al.2025 · 2 citations
  8. (Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding ↗arXiv (Cornell University) · no summary yetNishant Balepur et al.2026
  9. VibeJam: A User Study Platform for Web Development with Agents ↗arXiv (Cornell University) · no summary yetNishant Balepur et al.2026
  10. A Rubric-Supervised Critic from Sparse Real-World Outcomes ↗arXiv (Cornell University) · no summary yetXingyao Wang et al.2026

 Co-authors here

9 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 113 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

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