影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
90.27/100
前 0.6%
全站排名 #359
发表论文38 篇
平均评分
年均产出12.7 篇/年
Shiwei Liu
Principal Researcher@ELLIS Institute Tübingen & Max Planck Institute for Intelligent Systems·德国·OpenReview
研究方向
Deep Learning · Neural Network Design · Learning with Sparsity · Large Language Models
22
Diffusion Language Model Knows the Answer Before It Decodes
ICLR 2026Oral
通讯19
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching
ICLR 2026Poster
16
Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution
ICLR 2026Rejected
19
When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs
ICLR 2026Rejected
通讯27
Layerwise Learning Rate in the Era of Large Language Models
ICLR 2026Rejected
通讯13
Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers
ICLR 2026Poster
三作15
Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing
ICLR 2026Rejected
18
Rewiring Experts on the Fly: Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models
ICLR 2026Rejected
24
LOST: Low-rank and Sparse Pre-training for Large Language Models
ICLR 2026Rejected
21
Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning
ICLR 2026Rejected
5
Stable-SPAM: How to Stably Train Large Language Models in 4-Bit
ICLR 2026Withdrawn
通讯10
Training with Dynamic Sparse Heads as the Key to Effective Ensembling
ICLR 2026Desk Rejected
5
ELAS: Efficient Pre-Training of Low-Rank Large Language Models via 2:4 Activation Sparsity
ICLR 2026Withdrawn
10
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
ICML 2025Poster
通讯20
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
NeurIPS 2025Poster
15
The Curse of Depth in Large Language Models
NeurIPS 2025Poster
通讯23
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
NeurIPS 2025Poster
17
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
ICML 2025Poster
通讯38
Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN
ICLR 2025Poster
三作11
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
ICML 2025Poster
22
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
ICLR 2025Poster
通讯23
Composable Interventions for Language Models
ICLR 2025Poster
24
Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning
NeurIPS 2025Rejected
31
OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning
ICLR 2025Rejected
通讯16
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients
ICLR 2025Rejected
20
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients
ICLR 2025Withdrawn