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Jiacheng Lu

Shanghai Jiao Tong University

6 papers hereh-index 14 citations7 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 6 papers where every author was matched, so the position is known.

fields
  • cs.MM2
  • cs.AI1
  • cs.CL1
  • cs.CR1
  • cs.LG1
affiliations
  • Shanghai Jiao Tong University
HomepageORCID 0009-0003-2479-2620
same name
  • Jiacheng Lu — 2 papers, h 2
  • Jiacheng Lu — 1 paper, h 1
  • Jiacheng Lu — 1 paper
  • Jiacheng Lu — 1 paper, h 5

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

activity
20242026
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

Neo-Classic: A Benchmark for Evaluating Linguistic-Aesthetic Reasoning in Classical Chinese Poetry

Han Zhang, Zihan Gu, Zhiyuan Wang +5

While Large Language Models (LLMs) achieve high accuracy on established Classical Chinese Poetry benchmarks, it remains challenging to distinguish transferable Linguistic-Aesthetic…

cs.LG2026

One Analyst Is Not Ground Truth: Grading Agent-Built Financial Models Against Observed Professional Practice

Jiacheng Lu, Sinuo Wang, Yiming Li +15

Language model agents can now construct complete financial models, but it remains unclear whether they have learned the financial judgment that gives those models meaning. Existing…

cs.CR2026

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought

Jiacheng Lu, Yiming Li, Tao Song +4

Large Language Models with Chain-of-Thought reasoning capabilities represent valuable intellectual property, yet existing black-box watermarking methods often trade robustness for…

cs.AI2026

From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets

Taojie Zhu, Wentao Zhao, Rui Sun +7

Evaluating whether large language model (LLM) agents can profit in capital markets is increasingly framed as end-to-end trading: place an agent in a historical market, let it trade…

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