Ruiming Tang
37 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (8)
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Academic Marathon
(8)
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Cross-Pollinator
(9)
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Renaissance Researcher
(10)
π₯
Mega-Team
(27)
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Topic Evolution
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Dynamic Duo
(13)
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Conference Pioneer
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Unstoppable
(7)
ποΈ
Keyword Collector
(156)
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Century Club
(33)
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The Questioner
β‘
Prolific Year
(6)
Conferences
ACL (11)
AAAI (7)
EMNLP (5)
IJCAI (5)
ICLR (3)
NIPS (3)
AACL (1)
COLING (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
large language model
(9)
recommender system
(6)
code generation
(5)
reinforcement learning
(4)
recommendation system
(4)
benchmark evaluation
(3)
model compression
(3)
information retrieval
(3)
domain adaptation
(3)
late interaction
(2)
reasoning process
(2)
click-through rate prediction
(2)
knowledge distillation
(2)
embedding binarization
(2)
zero-shot learning
(2)
deep learning
(2)
policy gradient
(2)
feature interaction
(2)
click-through rate
(2)
multi-agent system
(2)
Papers
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
AAAI 2026
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
ACL 2026
OneRec-Think: In-Text Reasoning for Generative Recommendation
ACL 2026
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
AAAI 2026
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
COLING 2025
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
ACL 2025
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
ACL 2025
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
ACL 2025
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
ACL 2025
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
ACL 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
ACL 2025
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation
ACL 2025
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
EMNLP 2025
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
EMNLP 2025
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
EMNLP 2025
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
EMNLP 2025
Humanityβs Last Code Exam: Can Advanced LLMs Conquer Humanβs Hardest Code Competition?
EMNLP 2025
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
ICLR 2025
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
ICLR 2025
ToolACE: Winning the Points of LLM Function Calling
ICLR 2025
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024
Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024
Optimal Transport for Treatment Effect Estimation
NIPS 2023
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation
AAAI 2023
A Survey on User Behavior Modeling in Recommender Systems
IJCAI 2023
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
AAAI 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
NIPS 2023
Neural Re-ranking in Multi-stage Recommender Systems: A Review
IJCAI 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
AACL 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
IJCNLP 2022
On Effective Scheduling of Model-based Reinforcement Learning
NIPS 2021
Deep Learning for Click-Through Rate Estimation
IJCAI 2021
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
IJCAI 2020
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
AAAI 2019
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
IJCAI 2017