Li Du

44 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🤝 Dynamic Duo (20) 🏆 Grand Slam 💎 Century Club (40) 🔥 Unstoppable (7) ⚡ Prolific Year (5) 🗃️ Keyword Collector (187) ❓ The Questioner

Conferences

ACL (15) AAAI (7) EMNLP (6) ICLR (3) IJCNLP (3) COLING (2) CVPR (2) ICML (2) EACL (1) ICCV (1) IJCAI (1) NIPS (1)

Top co-authors

Xiao Ding (20) Ting Liu (20) Bing Qin (17) Ryan Cotterell (8) Kai Xiong (8) Yuan Du (6) Jason Eisner (5) Zhouhao Sun (5) Shanghang Zhang (4) Yijiang Liu (4)

Research topics

Cognitive Science (1)

Keywords

large language model (10) model compression (5) language model (5) variational autoencoder (4) event graph (4) knowledge distillation (4) transfer learning (3) natural language inference (3) knowledge graph (3) explainable ai (3) natural language understanding (3) question answering (3) causal reasoning (3) causal inference (3) commonsense reasoning (3) natural language processing (3) domain adaptation (2) representation learning (2) recurrent neural network (2) probability distribution (2)

Papers

Scaling Towards the Information Boundary of Instructions through Data Synthesizing AAAI 2026

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation AAAI 2026

LLMs Know More About Numbers than They Can Say EACL 2026

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation AAAI 2026

FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025

PAT: Pruning-Aware Tuning for Large Language Models AAAI 2025

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking ICLR 2025

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo ICLR 2025

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch EMNLP 2025

Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency AAAI 2025

Com2 : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models ACL 2025

Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns ACL 2025

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025

Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024

Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges ACL 2024

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning ACL 2024

When is a Language Process a Language Model? ACL 2024

Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation COLING 2024

Principled Gradient-Based MCMC for Conditional Sampling of Text ICML 2024

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials AAAI 2024

PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought CVPR 2024

SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic ICML 2024

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023

Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing ACL 2023

Tokenization and the Noiseless Channel ACL 2023

A Measure-Theoretic Characterization of Tight Language Models ACL 2023

A Formal Perspective on Byte-Pair Encoding ACL 2023

Structured Voronoi Sampling NIPS 2023

On the Representational Capacity of Recurrent Neural Language Models EMNLP 2023

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection ICCV 2023

Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic AAAI 2022

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks EMNLP 2022

CogBERT: Cognition-Guided Pre-trained Language Models COLING 2022

A Graph Enhanced BERT Model for Event Prediction ACL 2022

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning ACL 2022

Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning EMNLP 2022

ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021

Learning Event Graph Knowledge for Abductive Reasoning IJCNLP 2021

Neural Natural Logic Inference for Interpretable Question Answering EMNLP 2021

Learning Event Graph Knowledge for Abductive Reasoning ACL 2021

ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning IJCNLP 2021

The Curious Case of Neural Text Degeneration ICLR 2020

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder IJCNLP 2019

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder EMNLP 2019