Quanyu Dai
17 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🐝
Cross-Pollinator
(14)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(11)
🧬
Topic Evolution
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(99)
❓
The Questioner
💎
Century Club
(17)
Conferences
ACL (4)
IJCAI (4)
AAAI (3)
NIPS (3)
COLING (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
large language model
(6)
recommender system
(4)
causal inference
(3)
benchmark evaluation
(3)
transfer learning
(2)
reinforcement learning
(2)
domain adaptation
(2)
recommendation system
(2)
multi-task learning
(2)
preference optimization
(1)
knowledge distillation
(1)
attention mechanism
(1)
imitation learning
(1)
causal effect estimation
(1)
optimal transport
(1)
adversarial domain adaptation
(1)
policy gradient
(1)
deep learning
(1)
social intelligence
(1)
multi-modal learning
(1)
Papers
Improving Retrospective Language Agents via Joint Policy Gradient Optimization
NAACL 2025
SocialEval: Evaluating Social Intelligence of Large Language Models
ACL 2025
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
ACL 2025
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
ACL 2025
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
ACL 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Reflective Multi-Agent Collaboration based on Large Language Models
NIPS 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Out-of-distribution Detection with Implicit Outlier Transformation
ICLR 2023
Optimal Transport for Treatment Effect Estimation
NIPS 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
NIPS 2023
Multiple Robust Learning for Recommendation
AAAI 2023
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
IJCAI 2022
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
COLING 2022
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
IJCAI 2020
Adversarial Deep Network Embedding for Cross-Network Node Classification
AAAI 2020
Metadata-driven Task Relation Discovery for Multi-task Learning
IJCAI 2019