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Xingyao Wang

15 papers hereh-index 7296 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author9
  • last author3

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.SE5
  • cs.AI4
  • cs.CL4
  • cs.CV1
  • cs.LG1
same name
  • Xingyao Wang — 7 papers, h 17
  • Xingyao Wang — 4 papers, h 12
  • Xingyao Wang — 2 papers, h 2
  • Xingyao Wang — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHow Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

How can we assess human-agent interactions? Case studies in software agent design

Valerie Chen, Rohit Malhotra, Xingyao Wang +7

While benchmarks measure the accuracy of LLM-powered agents, they mostly assume full automation, failing to represent the collaborative nature of real-world use cases. In this pape…

cs.AI2026

A Rubric-Supervised Critic from Sparse Real-World Outcomes

Xingyao Wang, Valerie Chen, Heng Ji +1

Academic benchmarks for coding agents tend to reward autonomous task completion, measured by verifiable rewards such as unit-test success. In contrast, real-world coding agents ope…

cs.AI2025★ 1 cited

Training Proactive and Personalized LLM Agents

Weiwei Sun, Xuhui Zhou, Weihua Du +5

Despite rapid progress, current AI agents are primarily optimized for isolated task completion. We argue for a paradigm shift toward training agents as collaborators that communica…

cs.AI2025

The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks

Alejandro Cuadron, Dacheng Li, Wenjie Ma +13

Large Reasoning Models (LRMs) represent a breakthrough in AI problem-solving capabilities, but their effectiveness in interactive environments can be limited. This paper introduces…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.