Saved in:
| Main Authors: | Xiao, Chaojun, Zhang, Zhengyan, Song, Chenyang, Jiang, Dazhi, Yao, Feng, Han, Xu, Wang, Xiaozhi, Wang, Shuo, Huang, Yufei, Lin, Guanyu, Chen, Yingfa, Zhao, Weilin, Tu, Yuge, Zhong, Zexuan, Zhang, Ao, Si, Chenglei, Moo, Khai Hao, Zhao, Chenyang, Chen, Huimin, Lin, Yankai, Liu, Zhiyuan, Shang, Jingbo, Sun, Maosong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.02877 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity
by: Song, Chenyang, et al.
Published: (2025)
by: Song, Chenyang, et al.
Published: (2025)
DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
by: Song, Chenyang, et al.
Published: (2026)
by: Song, Chenyang, et al.
Published: (2026)
ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs
by: Zhang, Zhengyan, et al.
Published: (2024)
by: Zhang, Zhengyan, et al.
Published: (2024)
Robust and Scalable Model Editing for Large Language Models
by: Chen, Yingfa, et al.
Published: (2024)
by: Chen, Yingfa, et al.
Published: (2024)
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024)
by: Xiao, Chaojun, et al.
Published: (2024)
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
by: Luo, Yuqi, et al.
Published: (2024)
by: Luo, Yuqi, et al.
Published: (2024)
Exploring the Benefit of Activation Sparsity in Pre-training
by: Zhang, Zhengyan, et al.
Published: (2024)
by: Zhang, Zhengyan, et al.
Published: (2024)
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts
by: Chen, Yingfa, et al.
Published: (2024)
by: Chen, Yingfa, et al.
Published: (2024)
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
by: Xiao, Chaojun, et al.
Published: (2023)
by: Xiao, Chaojun, et al.
Published: (2023)
$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens
by: Zhang, Xinrong, et al.
Published: (2024)
by: Zhang, Xinrong, et al.
Published: (2024)
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
by: Zhang, Xinrong, et al.
Published: (2024)
by: Zhang, Xinrong, et al.
Published: (2024)
Cost-Optimal Grouped-Query Attention for Long-Context Modeling
by: Chen, Yingfa, et al.
Published: (2025)
by: Chen, Yingfa, et al.
Published: (2025)
H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs
by: Gao, Cheng, et al.
Published: (2025)
by: Gao, Cheng, et al.
Published: (2025)
CA-LoRA: Adapting Existing LoRA for Compressed LLMs to Enable Efficient Multi-Tasking on Personal Devices
by: Zhao, Weilin, et al.
Published: (2023)
by: Zhao, Weilin, et al.
Published: (2023)
Representation Learning for Natural Language Processing
by: Liu, Zhiyuan, et al.
Published: (2020)
by: Liu, Zhiyuan, et al.
Published: (2020)
Student-in-the-Loop Chain-of-Thought Distillation via Generation-Time Selection
by: He, Chaoqun, et al.
Published: (2026)
by: He, Chaoqun, et al.
Published: (2026)
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
by: Gao, Cheng, et al.
Published: (2024)
by: Gao, Cheng, et al.
Published: (2024)
Stuffed Mamba: Oversized States Lead to the Inability to Forget
by: Chen, Yingfa, et al.
Published: (2024)
by: Chen, Yingfa, et al.
Published: (2024)
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
by: Peng, Letian, et al.
Published: (2024)
by: Peng, Letian, et al.
Published: (2024)
APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs
by: Huang, Yuxiang, et al.
Published: (2025)
by: Huang, Yuxiang, et al.
Published: (2025)
Densing Law of LLMs
by: Xiao, Chaojun, et al.
Published: (2024)
by: Xiao, Chaojun, et al.
Published: (2024)
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
by: Song, Chenyang, et al.
Published: (2024)
by: Song, Chenyang, et al.
Published: (2024)
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding
by: Zhao, Weilin, et al.
Published: (2024)
by: Zhao, Weilin, et al.
Published: (2024)
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
by: Lin, Wei, et al.
Published: (2025)
by: Lin, Wei, et al.
Published: (2025)
Modular PE-Structured Learning for Cross-Task Wireless Communications
by: Duan, Yuxuan, et al.
Published: (2025)
by: Duan, Yuxuan, et al.
Published: (2025)
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
by: Qiu, Zexuan, et al.
Published: (2024)
by: Qiu, Zexuan, et al.
Published: (2024)
Effects of cold joints on concrete mechanical properties and tunnel service performance
by: Chenyang Zhao, et al.
Published: (2025)
by: Chenyang Zhao, et al.
Published: (2025)
Gradient-Driven Graph Neural Networks for Learning Digital and Hybrid Precoder
by: Zhang, Lin, et al.
Published: (2025)
by: Zhang, Lin, et al.
Published: (2025)
Win in Chinese Courts
by: Zhang, Chenyang
Published: (2023)
by: Zhang, Chenyang
Published: (2023)
A Distributed Gradient-based Algorithm for Optimization Problems with Coupled Equality Constraints
by: Qiu, Chenyang, et al.
Published: (2025)
by: Qiu, Chenyang, et al.
Published: (2025)
Non-Ergodic Convergence Algorithms for Distributed Consensus and Coupling-Constrained Optimization
by: Qiu, Chenyang, et al.
Published: (2025)
by: Qiu, Chenyang, et al.
Published: (2025)
CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics
by: Luo, Yining, et al.
Published: (2023)
by: Luo, Yining, et al.
Published: (2023)
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
by: Sun, Ao, et al.
Published: (2024)
by: Sun, Ao, et al.
Published: (2024)
BurstEngine: an Efficient Distributed Framework for Training Transformers on Extremely Long Sequences of over 1M Tokens
by: Sun, Ao, et al.
Published: (2025)
by: Sun, Ao, et al.
Published: (2025)
Safety assessment of shield tunnels with initially mechanically damaged concrete in water‐rich strata
by: Chenyang Zhao, et al.
Published: (2025)
by: Chenyang Zhao, et al.
Published: (2025)
StateX: Enhancing RNN Recall via Post-training State Expansion
by: Shen, Xingyu, et al.
Published: (2025)
by: Shen, Xingyu, et al.
Published: (2025)
Can We Hear from Events? Generating Speech from Event Camera
by: Fang, Jingping, et al.
Published: (2026)
by: Fang, Jingping, et al.
Published: (2026)
KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning
by: Gao, Cheng, et al.
Published: (2026)
by: Gao, Cheng, et al.
Published: (2026)
Predicting Emergent Abilities with Infinite Resolution Evaluation
by: Hu, Shengding, et al.
Published: (2023)
by: Hu, Shengding, et al.
Published: (2023)
Similar Items
-
BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity
by: Song, Chenyang, et al.
Published: (2025) -
DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
by: Song, Chenyang, et al.
Published: (2026) -
ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs
by: Zhang, Zhengyan, et al.
Published: (2024) -
Robust and Scalable Model Editing for Large Language Models
by: Chen, Yingfa, et al.
Published: (2024) -
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
by: Xiao, Chaojun, et al.
Published: (2024)