Muxi Diao
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22) 👥 Mega-Team · Squad ❓ The Questioner (2)
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI · Artificial Intelligence
(5)
Machine Learning
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Models
(3)
Learning Types
(2)
Resources & Methods
(2)
Computer Science
(1)
Computer Vision
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications · Computer Vision
(1)
Applications · Computer Science
(1)
Core AI · Computer Vision
(1)
Keywords
code generation
(2)
instruction tuning
(2)
language model
(2)
large language model
(2)
benchmark evaluation
(2)
reinforcement learning
(2)
multilingual nlp
(1)
multimodal learning
(1)
visual reasoning
(1)
adversarial training
(1)
large multimodal model
(1)
multimodal large language model
(1)
data quality
(1)
data pruning
(1)
red teaming
(1)
knowledge concept
(1)
knowledge reasoning
(1)
adversarial prompt generation
(1)
reasoning capability
(1)
prompt injection
(1)
Papers
MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision
AAAI 2026
MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning
ACL 2026
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
ICLR 2025
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
AAAI 2025
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
ACL 2025
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
ACL 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
EMNLP 2024