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Yao Shi

4 papers hereh-index 219 citations5 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CE1
  • cs.MA1
  • cs.SI1
same name
  • Yao Shi — 6 papers, h 7
  • Yao Shi — 5 papers, h 5
  • Yao Shi — 3 papers, h 2
  • Yao Shi — 2 papers, h 10
  • Yao Shi — 2 papers, h 0
  • Yao Shi — 1 paper, h 7

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 citedRise of the Community Champions: From Reviewer Crunch to Community Power

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market

Yao Shi, Kingfung Luo, Nan Tang +1

Niche asset markets, such as Counter-Strike 2 (CS2) weapon skins, are small, volatile, and heavily driven by community discussions and platform rules. These properties make them ha…

cs.CE2025

Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking

Changlun Li, Yao Shi, Chen Wang +7

Large Language Models (LLMs) have demonstrated notable capabilities across financial tasks, including financial report summarization, earnings call transcript analysis, and asset c…

cs.SI2025★ 1 cited

Rise of the Community Champions: From Reviewer Crunch to Community Power

Changlun Li, Yao Shi, Yuyu Luo +1

Academic publishing is facing a crisis driven by exponential growth in submissions and an overwhelmed peer review system, leading to inconsistent decisions and a severe reviewer sh…

cs.MA2025

Will LLMs be Professional at Fund Investment? DeepFund: A Live Arena Perspective

Changlun Li, Yao Shi, Yuyu Luo +1

Large Language Models (LLMs) have demonstrated impressive capabilities across various domains, but their effectiveness in financial decision-making remains inadequately evaluated.…

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