Scholar
Lang Cao
Google Scholar ID: CefzkpEAAAAJ
CS PhD Student at University of Illinois Urbana-Champaign
Machine Learning
Machine Reasoning
AI for Health
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Homepage
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Citations & Impact
All-time
Citations
218
H-index
9
i10-index
9
Publications
19
Co-authors
7
list available
Contact
Email
langcao2@illinois.edu
CV
Open ↗
GitHub
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LinkedIn
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Publications
14 items
RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World
2026
Cited
0
SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management
2026
Cited
0
EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation
2026
Cited
0
TreeAdv: Tree-Structured Advantage Redistribution for Group-Based RL
arXiv.org · 2026
Cited
0
Chain-of-Alpha: Unleashing the Power of Large Language Models for Alpha Mining in Quantitative Trading
2025
Cited
0
Bingo: Boosting Efficient Reasoning of LLMs via Dynamic and Significance-based Reinforcement Learning
2025
Cited
0
SuperRL: Reinforcement Learning with Supervision to Boost Language Model Reasoning
2025
Cited
0
Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models
2025
Cited
0
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Resume (English only)
Academic Achievements
Chain-of-Alpha: A dual-chain LLM-based framework for alpha mining in quantitative trading (Under Review, 2025)
Fortune: Formula-driven reinforcement learning for symbolic table reasoning in language models (Under Review, 2025)
Bingo: Dynamic and significance-based reinforcement learning for efficient LLM reasoning (Under Review, 2025)
SuperRL: Unified supervised and reinforcement learning framework to boost LLM reasoning (Under Review, 2025)
DeepRetrieval: Hacking real search engines with LLMs via reinforcement learning (COLM 2025)
TablePilot: Recommending human-preferred tabular data analysis with LLMs (ACL 2025 Industry Track, Oral)
Background
PhD student in Computer Science at the University of Illinois Urbana-Champaign (UIUC)
Research focuses on artificial intelligence (AI), particularly large language models (LLMs) and their applications
Interested in improving reasoning capabilities of LLMs and exploring practical applications
Research areas include machine learning, machine reasoning, AI for health, LLM reasoning, LLM generation, Table LLMs, LLM agents, and NLP applications
Active practitioner in Web3 and quantitative trading
Co-authors
7 total
Jimeng Sun
Professor at University of Illinois Urbana-Champaign
Zifeng Wang
University of Illinois Urbana-Champaign (UIUC)
Patrick (Pengcheng) Jiang
University of Illinois at Urbana-Champaign
Jiawei Han
Abel Bliss Professor of Computer Science, University of Illinois
Dongmei Zhang
Microsoft Research
Haoyu Dong
Microsoft Research; UCAS
Mengyu Zhou
Microsoft Research
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