Nan Du

CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding ACL 2025 S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning ACL 2025 Instruction-Following Pruning for Large Language Models ICML 2025 EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing ICLR 2025 CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models ACL 2025 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025 MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity COLING 2025 ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks ACL 2025 Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024 Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers ACL 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ICLR 2024 On Diversified Preferences of Large Language Model Alignment EMNLP 2024 "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training" ECCV 2024 Self-playing Adversarial Language Game Enhances LLM Reasoning NIPS 2024 PaLM: Scaling Language Modeling with Pathways JMLR 2023 Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference NIPS 2023 DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining NIPS 2023 More Than Spoken Words: Nonverbal Message Extraction and Generation EMNLP 2023 ReAct: Synergizing Reasoning and Acting in Language Models ICLR 2023 Lifelong Language Pretraining with Distribution-Specialized Experts ICML 2023 Brainformers: Trading Simplicity for Efficiency ICML 2023 GLaM: Efficient Scaling of Language Models with Mixture-of-Experts ICML 2022 Finetuned Language Models are Zero-Shot Learners ICLR 2022 Mixture-of-Experts with Expert Choice Routing NIPS 2022 On the Generation of Medical Question-Answer Pairs AAAI 2020 Learning to Select Best Forecast Tasks for Clinical Outcome Prediction NIPS 2020 Entity Synonym Discovery via Multipiece Bilateral Context Matching IJCAI 2020 Learning to Infer Entities, Properties and their Relations from Clinical Conversations IJCNLP 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering AAAI 2019 Extracting Symptoms and their Status from Clinical Conversations ACL 2019 Multi-grained Named Entity Recognition ACL 2019 Joint Slot Filling and Intent Detection via Capsule Neural Networks ACL 2019 Learning to Infer Entities, Properties and their Relations from Clinical Conversations EMNLP 2019 Learning Temporal Point Processes via Reinforcement Learning NIPS 2018 Cooperative Denoising for Distantly Supervised Relation Extraction COLING 2018 Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge COLING 2018 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NIPS 2016 Isotonic Hawkes Processes ICML 2016 Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015 Time-Sensitive Recommendation From Recurrent User Activities NIPS 2015 Influence Function Learning in Information Diffusion Networks ICML 2014 Learning Time-Varying Coverage Functions NIPS 2014 Shaping Social Activity by Incentivizing Users NIPS 2014 Scalable Influence Estimation in Continuous-Time Diffusion Networks NIPS 2013 Uncover Topic-Sensitive Information Diffusion Networks AISTATS 2013 Learning Networks of Heterogeneous Influence NIPS 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012