Ruiming Tang

DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing ACL 2026 OneRec-Think: In-Text Reasoning for Generative Recommendation ACL 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning AAAI 2026 Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger ACL 2025 Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation ACL 2025 Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization ICLR 2025 Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation ACL 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 CoIR: A Comprehensive Benchmark for Code Information Retrieval Models ACL 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 Humanity’s Last Code Exam: Can Advanced LLMs Conquer Human’s Hardest Code Competition? EMNLP 2025 Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025 LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations COLING 2025 MMDocIR: Benchmarking Multimodal Retrieval for Long Documents EMNLP 2025 NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025 RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation EMNLP 2025 RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation EMNLP 2025 RevisEval: Improving LLM-as-a-Judge via Response-Adapted References 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 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 A Survey on User Behavior Modeling in Recommender Systems IJCAI 2023 Optimal Transport for Treatment Effect Estimation NeurIPS 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NeurIPS 2023 Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching AACL 2022 Neural Re-ranking in Multi-stage Recommender Systems: A Review IJCAI 2022 Deep Learning for Click-Through Rate Estimation IJCAI 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 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