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upvoted a paper 12 days ago

Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?

Paper • 2602.23225 • Published Feb 26 • 1

upvoted 2 papers 21 days ago

One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs

Paper • 2605.22297 • Published May 27 • 1

AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization

Paper • 2606.04980 • Published Jun 3 • 2

upvoted a paper 24 days ago

Learning from the Self-future: On-policy Self-distillation for dLLMs

Paper • 2606.18195 • Published 25 days ago • 76

submitted a paper to Daily Papers 24 days ago

Learning from the Self-future: On-policy Self-distillation for dLLMs

Paper • 2606.18195 • Published 25 days ago • 76

upvoted a paper 8 months ago

The Path Not Taken: RLVR Provably Learns Off the Principals

Paper • 2511.08567 • Published Nov 11, 2025 • 37

upvoted a paper 9 months ago

The Art of Scaling Reinforcement Learning Compute for LLMs

Paper • 2510.13786 • Published Oct 15, 2025 • 34

upvoted a paper 11 months ago

Diffusion Language Models Know the Answer Before Decoding

Paper • 2508.19982 • Published Aug 27, 2025 • 27

upvoted 2 papers about 1 year ago

Spatial Mental Modeling from Limited Views

Paper • 2506.21458 • Published Jun 26, 2025 • 13

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning

Paper • 2506.00772 • Published Jun 1, 2025 • 2

commented a paper about 1 year ago

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning

Paper • 2506.00772 • Published Jun 1, 2025 • 2 •

2

authored 9 papers over 1 year ago

OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning

Paper • 2405.18380 • Published May 28, 2024 • 1

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping

Paper • 2404.03865 • Published Apr 5, 2024

Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding

Paper • 2403.04797 • Published Mar 5, 2024 • 1

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training

Paper • 2202.02643 • Published Feb 5, 2022 • 1

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

Paper • 2106.10404 • Published Jun 19, 2021 • 1

The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter

Paper • 2306.03805 • Published Jun 6, 2023 • 1

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

Paper • 2310.08915 • Published Oct 13, 2023

AdaMerging: Adaptive Model Merging for Multi-Task Learning

Paper • 2310.02575 • Published Oct 4, 2023 • 1

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers

Paper • 2303.01610 • Published Mar 2, 2023