Jingqing Ruan
10 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Century Club · Bronze
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Research topics
Artificial Intelligence
(9)
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Machine Learning
(5)
Deep Learning
(4)
Reinforcement Learning
(4)
Learning Types · Deep Learning
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Methods
(4)
Core Methods
(2)
Learning Types · Machine Learning
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Optimization & Theory · Machine Learning
(2)
Natural Language Processing
(1)
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(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
large language model
(5)
reinforcement learning
(3)
anomaly detection
(1)
policy optimization
(1)
computational complexity
(1)
causal discovery
(1)
preference learning
(1)
event detection
(1)
preference alignment
(1)
in-context learning
(1)
curriculum learning
(1)
computational efficiency
(1)
reinforcement learning from human feedback
(1)
parameter sharing
(1)
sample efficiency
(1)
multi-objective optimization
(1)
adaptive computation
(1)
reward model
(1)
tool use
(1)
multi-agent reinforcement learning
(1)
Papers
Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents
ACL 2026
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
ACL 2026
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
ACL 2026
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
ACL 2025
A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
EMNLP 2025
When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning
EMNLP 2025
Learning Causal Dynamics Models in Object-Oriented Environments
ICML 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
EMNLP 2024
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
IJCAI 2024
Explainable Reinforcement Learning via a Causal World Model
IJCAI 2023