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Zhaopeng Tu — most-cited papers & profile · Time Series
← authors
·
overview
Zhaopeng Tu
28
papers ·
173
citations ·
40
h-index
Tencent (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
All Languages Matter: On The Multilingual Safety Of Large Language Models
2023 · 46 citations
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
2025 · 35 citations
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
2025 · 35 citations
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
2023 · 27 citations
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
2025 · 26 citations
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
2024 · 4 citations
LivingArena: Do LLMs Know What Other LLMs Don't? Peer-Probing as Scalable Evaluation
2026
Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents
2026
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
2025
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
2025
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
2025
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
2025
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
2025
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
2025
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
2025
Topics
Evaluation
Training Techniques
Fine-Tuning
cs.CL
Efficiency
Reinforcement Learning
In-Context Learning
Safety & Alignment
RAG
Model Architecture