Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Beidi Luan
Observed name:
Luan, Beidi
Observed institution:
Ant Group (China)
OpenAlex ID:
A5140912009
TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations
2021
·
Xianming Li
, Xiaotian Luo
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
68
PDF
From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets
2026
·
Zhu, Taojie
, Zhao, Wentao
, et al.
·
arXiv (Cornell University)
·
17
PDF
FinResearchBench II: A Deep Research Benchmark with Consensus-Derived Gold Rubrics for Distinguishing Financial Report Quality
2026
·
Luan, Beidi
, Sun, Rui
, et al.
·
arXiv (Cornell University)
·
8
PDF
CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
2026
·
Chen, Mengting
, Sun, Yanshu
, et al.
·
arXiv (Cornell University)
·
2
PDF
From Search to Research: Exploring Search Scaling in Autonomous Quantitative Factor Mining
2026
·
Deng, Kangcheng
, Cai, Hui
, et al.
·
arXiv (Cornell University)
·
1
PDF
P$^2$-MOPD: Accelerating Multi-Teacher On-Policy Distillation via Parameter Priors
2026
·
Wang, Sinuo
, Lu, Jiacheng
, et al.
·
arXiv (Cornell University)
PDF
LiveSearch: Questions as Executable Verifier Code for a Live Benchmark of Professional-Source Financial Search Agents
2026
·
Wang, Sinuo
, Zhao, Wentao
, et al.
·
arXiv (Cornell University)
PDF
RubricAtlas: Mining Type-Level Rubrics from Expert Reports to Evaluate Deep Research Agents
2026
·
Wang, Delin
, Wang, Sinuo
, et al.
·
arXiv (Cornell University)
PDF
AutoVend: Benchmarking LLM Agents on Long-Horizon Autonomous Vending Operations
2026
·
Shi, Qiming
, Li, Yikun
, et al.
·
arXiv (Cornell University)
PDF
One Analyst Is Not Ground Truth: Grading Agent-Built Financial Models Against Observed Professional Practice
2026
·
Lu, Jiacheng
, Li, Yiming
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
11
Citation count:
96
H-index:
3
I10-index:
2
Year
Topic
Type