Quanyu Dai
17 papers · 2019–2025 · 7 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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(11)
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(7)
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The Questioner
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Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(9)
Application Areas
(8)
Learning Types Β· Machine Learning
(8)
Deep Learning
(4)
Data Science & Analytics
(3)
Applications
(3)
Core Methods
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
large language model
(6)
recommender system
(4)
benchmark evaluation
(3)
causal inference
(3)
reinforcement learning
(2)
adversarial learning
(2)
domain adaptation
(2)
recommendation system
(2)
multi-task learning
(2)
transfer learning
(2)
knowledge distillation
(1)
attention mechanism
(1)
optimal transport
(1)
preference optimization
(1)
domain generalization
(1)
deep learning
(1)
policy gradient
(1)
social intelligence
(1)
language model evaluation
(1)
causal effect estimation
(1)
Papers
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
ACL 2025
Improving Retrospective Language Agents via Joint Policy Gradient Optimization
NAACL 2025
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
ACL 2025
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
ACL 2025
SocialEval: Evaluating Social Intelligence of Large Language Models
ACL 2025
Reflective Multi-Agent Collaboration based on Large Language Models
NeurIPS 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Multiple Robust Learning for Recommendation
AAAI 2023
Optimal Transport for Treatment Effect Estimation
NeurIPS 2023
Out-of-distribution Detection with Implicit Outlier Transformation
ICLR 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
NeurIPS 2023
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
COLING 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
IJCAI 2022
Adversarial Deep Network Embedding for Cross-Network Node Classification
AAAI 2020
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
IJCAI 2020
Metadata-driven Task Relation Discovery for Multi-task Learning
IJCAI 2019