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Nan Du

49 papers · 2012–2025 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (21) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ‘₯ Mega-Team (67) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (12) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter πŸ’Ž Century Club (49) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (50)

Conferences

NIPS (13) ACL (10) ICML (6) ICLR (4) AAAI (3) COLING (3) EMNLP (3) AISTATS (2) JMLR (2) ECCV (1) IJCAI (1) IJCNLP (1)

Top co-authors

Le Song (12) Yaliang Li (7) Wei Fan (7) Xiaolong Li (6) Yanqi Zhou (6) Hongyuan Zha (5) Jian Li (5) Tao Lei (5) Izhak Shafran (4) zhifeng Chen (4)

Keywords

large language model (7) social network (4) convex optimization (4) mixture of expert (3) point process (3) relation extraction (3) reinforcement learning (3) sparse activation (3) neural network (3) clinical conversation (3) named entity recognition (3) influence maximization (2) knowledge graph (2) continuous-time diffusion (2) model compression (2) information diffusion (2) multi-armed bandit (2) self-attention mechanism (2) few-shot learning (2) transformer architecture (2)

Papers

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