Lijun Wu

R3: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning ACL 2026 MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing ACL 2026 ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ACL 2026 The Data Frontier for Large Language Models: Selection, Synthesis, and Tools ACL 2026 Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs ACL 2026 Data Pollination: An Emergent Ecological Process Driving AI Population Evolution ACL 2026 REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once ACL 2026 MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer EMNLP 2025 3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling ICLR 2025 AgentMixer: Multi-Agent Correlated Policy Factorization AAAI 2025 MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ACL 2025 Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration ACL 2025 A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025 CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge ACL 2025 OpenHuEval: Evaluating Large Language Model on Hungarian Specifics ACL 2025 LEMMA: Learning from Errors for MatheMatical Advancement in LLMs ACL 2025 GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation NAACL 2025 Explainable Graph Neural Networks via Structural Externalities IJCAI 2025 Fast and Accurate Blind Flexible Docking ICLR 2025 Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection ICLR 2025 Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025 Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025 Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble ACL 2024 Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024 CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information EACL 2024 BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning ACL 2024 Backpropagation Through Agents AAAI 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NIPS 2024 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 Dynamic and Efficient Inference for Text Generation via BERT Family ACL 2023 MolXPT: Wrapping Molecules with Text for Generative Pre-training ACL 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations EMNLP 2023 FABind: Fast and Accurate Protein-Ligand Binding NIPS 2023 Retrosynthesis Prediction with Local Template Retrieval AAAI 2023 AMOM: Adaptive Masking over Masking for Conditional Masked Language Model AAAI 2023 $\mathcal{O}$-GNN: incorporating ring priors into molecular modeling ICLR 2023 Target-Side Input Augmentation for Sequence to Sequence Generation ICLR 2022 Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change EMNLP 2022 JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation EMNLP 2022 UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost NAACL 2021 R-Drop: Regularized Dropout for Neural Networks NIPS 2021 Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering NIPS 2021 Learning to Reweight with Deep Interactions AAAI 2021 mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation ACL 2021 How to leverage the multimodal EHR data for better medical prediction? EMNLP 2021 IOT: Instance-wise Layer Reordering for Transformer Structures ICLR 2021 Temporally Correlated Task Scheduling for Sequence Learning ICML 2021 mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation IJCNLP 2021 Transductive Ensemble Learning for Neural Machine Translation AAAI 2020 Sequence Generation with Mixed Representations ICML 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection NIPS 2020 Incorporating BERT into Neural Machine Translation ICLR 2020 Exploiting Monolingual Data at Scale for Neural Machine Translation EMNLP 2019 Exploiting Monolingual Data at Scale for Neural Machine Translation IJCNLP 2019 Machine Translation With Weakly Paired Documents IJCNLP 2019 Microsoft Research Asia’s Systems for WMT19 ACL 2019 Depth Growing for Neural Machine Translation ACL 2019 Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019 Machine Translation With Weakly Paired Documents EMNLP 2019 Learning to Teach with Dynamic Loss Functions NIPS 2018 Efficient Sequence Learning with Group Recurrent Networks NAACL 2018 Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter EMNLP 2018 A Study of Reinforcement Learning for Neural Machine Translation EMNLP 2018 Adversarial Neural Machine Translation ACML 2018 Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NIPS 2017