Shuchang Tao
5 papers · 2024–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(13)
Top co-authors
Research topics
Artificial Intelligence
(3)
Machine Learning
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Science
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Learning Paradigms
(1)
Keywords
reinforcement learning
(3)
large language model
(2)
chain-of-thought reasoning
(1)
preference optimization
(1)
code generation
(1)
confidence calibration
(1)
reward function
(1)
multi-step planning
(1)
software engineering
(1)
weak-to-strong learning
(1)
supervised fine-tuning
(1)
student model
(1)
tool learning
(1)
error diagnosis
(1)
function scaffold
(1)
diffusion language model
(1)
tool calling
(1)
response quality
(1)
context learning
(1)
function implementation
(1)
Papers
d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models
ACL 2026
Incentivizing Strong Reasoning from Weak Supervision
EACL 2026
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
ACL 2025
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
ACL 2025
When to Trust LLMs: Aligning Confidence with Response Quality
ACL 2024