Bei Peng
15 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(12)
🌍
Conference Polyglot
(9)
👑
Triple Crown
💎
Century Club
(14)
📈
Trend Setter
⚡
Prolific Year
(5)
Conferences
ICML (3)
NIPS (3)
ACL (2)
ICLR (2)
AACL (1)
CVPR (1)
EMNLP (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(4)
commonsense generation
(2)
value function
(2)
reinforcement learning
(2)
interactive learning
(1)
transfer learning
(1)
image classification
(1)
counterfactual reasoning
(1)
natural language generation
(1)
text generation
(1)
multimodal learning
(1)
policy learning
(1)
deepfake detection
(1)
evaluation methodology
(1)
human feedback
(1)
in-context learning
(1)
synthetic data generation
(1)
generative model
(1)
curriculum learning
(1)
multi-task learning
(1)
Papers
Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
ACL 2026
Evaluating the Evaluation of Diversity in Commonsense Generation
ACL 2025
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
CVPR 2025
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
EMNLP 2024
Learning to Predict Concept Ordering for Common Sense Generation
IJCNLP 2023
Learning to Predict Concept Ordering for Common Sense Generation
AACL 2023
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
ICML 2021
FACMAC: Factored Multi-Agent Centralised Policy Gradients
NIPS 2021
Regularized Softmax Deep Multi-Agent Q-Learning
NIPS 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
ICLR 2021
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
ICML 2021
Optimistic Exploration even with a Pessimistic Initialisation
ICLR 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
NIPS 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
JMLR 2020
Interactive Learning from Policy-Dependent Human Feedback
ICML 2017