Li Du
46 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (11)
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(10)
π§
Keyword Pioneer
π
Academic Marathon
(6)
π€
Dynamic Duo
(20)
π
Grand Slam
π
Century Club
(40)
π₯
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(7)
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Prolific Year
(5)
ποΈ
Keyword Collector
(187)
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The Questioner
Conferences
ACL (17)
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
Research topics
Keywords
large language model
(11)
model compression
(5)
language model
(5)
variational autoencoder
(4)
knowledge distillation
(4)
event graph
(4)
transfer learning
(3)
natural language understanding
(3)
causal inference
(3)
question answering
(3)
natural language inference
(3)
knowledge graph
(3)
supervised fine-tuning
(3)
explainable ai
(3)
causal reasoning
(3)
commonsense reasoning
(3)
natural language processing
(3)
reinforcement learning
(3)
hidden state
(2)
recurrent neural network
(2)
Papers
LLMs Know More About Numbers than They Can Say
EACL 2026
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
ACL 2026
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation
AAAI 2026
Scaling Towards the Information Boundary of Instructions through Data Synthesizing
AAAI 2026
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
ACL 2026
MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation
AAAI 2026
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
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
AAAI 2025
PAT: Pruning-Aware Tuning for Large Language Models
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
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
EMNLP 2025
FBQuant: FeedBack Quantization for Large Language Models
IJCAI 2025
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
CVPR 2024
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
AAAI 2024
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
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
ICML 2024
A Formal Perspective on Byte-Pair Encoding
ACL 2023
A Measure-Theoretic Characterization of Tight Language Models
ACL 2023
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing
ACL 2023
Tokenization and the Noiseless Channel
ACL 2023
On the Representational Capacity of Recurrent Neural Language Models
EMNLP 2023
Structured Voronoi Sampling
NIPS 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
ICCV 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
CVPR 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
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning
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
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
IJCNLP 2021
Learning Event Graph Knowledge for Abductive Reasoning
IJCNLP 2021
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
ACL 2021
Neural Natural Logic Inference for Interpretable Question Answering
EMNLP 2021
Learning Event Graph Knowledge for Abductive Reasoning
ACL 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