COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection
Fuente:
arXiv
Saved in:
| Main Authors: | Cheon, Jaewon, Kang, Pilsung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
by: Anand, Nikhil, et al.
Published: (2026)
by: Anand, Nikhil, et al.
Published: (2026)
Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
by: Farnik, Lucy, et al.
Published: (2025)
by: Farnik, Lucy, et al.
Published: (2025)
Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning
by: Wang, Fangxin, et al.
Published: (2026)
by: Wang, Fangxin, et al.
Published: (2026)
Implementing Pearl's $\mathcal{DO}$-Calculus on Quantum Circuits: A Simpson-Type Case Study on NISQ Hardware
by: Kang, Pilsung
Published: (2025)
by: Kang, Pilsung
Published: (2025)
Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
by: Kang, Pilsung
Published: (2025)
by: Kang, Pilsung
Published: (2025)
Hallucination Detection via Activations of Open-Weight Proxy Analyzers
by: Singh, Akshita, et al.
Published: (2026)
by: Singh, Akshita, et al.
Published: (2026)
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
Sparse Shift Autoencoders for Identifying Concepts from Large Language Model Activations
by: Joshi, Shruti, et al.
Published: (2025)
by: Joshi, Shruti, et al.
Published: (2025)
naPINN: Noise-Adaptive Physics-Informed Neural Networks for Recovering Physics from Corrupted Measurement
by: Kim, Hankyeol, et al.
Published: (2026)
by: Kim, Hankyeol, et al.
Published: (2026)
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
by: Huang, Xijie, et al.
Published: (2024)
by: Huang, Xijie, et al.
Published: (2024)
More Expressive Attention with Negative Weights
by: Lv, Ang, et al.
Published: (2024)
by: Lv, Ang, et al.
Published: (2024)
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
by: Xu, Austin, et al.
Published: (2025)
by: Xu, Austin, et al.
Published: (2025)
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
by: Butler, Landon, et al.
Published: (2025)
by: Butler, Landon, et al.
Published: (2025)
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
by: Li, Yun, et al.
Published: (2023)
by: Li, Yun, et al.
Published: (2023)
Contextually Entangled Gradient Mapping for Optimized LLM Comprehension
by: Sisate, Colin, et al.
Published: (2025)
by: Sisate, Colin, et al.
Published: (2025)
Teaching LLMs How to Learn with Contextual Fine-Tuning
by: Choi, Younwoo, et al.
Published: (2025)
by: Choi, Younwoo, et al.
Published: (2025)
Filtered Direct Preference Optimization
by: Morimura, Tetsuro, et al.
Published: (2024)
by: Morimura, Tetsuro, et al.
Published: (2024)
User-LLM: Efficient LLM Contextualization with User Embeddings
by: Ning, Lin, et al.
Published: (2024)
by: Ning, Lin, et al.
Published: (2024)
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
by: Yuan, Jingyang, et al.
Published: (2025)
by: Yuan, Jingyang, et al.
Published: (2025)
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
by: Brandfonbrener, David, et al.
Published: (2024)
by: Brandfonbrener, David, et al.
Published: (2024)
Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
by: Chanin, David, et al.
Published: (2025)
by: Chanin, David, et al.
Published: (2025)
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks
by: Christopoulou, Fenia, et al.
Published: (2024)
by: Christopoulou, Fenia, et al.
Published: (2024)
RCStat: A Statistical Framework for using Relative Contextualization in Transformers
by: Mahapatra, Debabrata, et al.
Published: (2025)
by: Mahapatra, Debabrata, et al.
Published: (2025)
Less is More: Local Intrinsic Dimensions of Contextual Language Models
by: Ruppik, Benjamin Matthias, et al.
Published: (2025)
by: Ruppik, Benjamin Matthias, et al.
Published: (2025)
Towards Detecting Contextual Real-Time Toxicity for In-Game Chat
by: Yang, Zachary, et al.
Published: (2023)
by: Yang, Zachary, et al.
Published: (2023)
LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification
by: Khurana, Tanisha, et al.
Published: (2024)
by: Khurana, Tanisha, et al.
Published: (2024)
Beyond Mimicry to Contextual Guidance: Knowledge Distillation for Interactive AI
by: Wang, Tong, et al.
Published: (2024)
by: Wang, Tong, et al.
Published: (2024)
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
by: Hsu, Aliyah R., et al.
Published: (2024)
by: Hsu, Aliyah R., et al.
Published: (2024)
Contextual Drag: How Errors in the Context Affect LLM Reasoning
by: Cheng, Yun, et al.
Published: (2026)
by: Cheng, Yun, et al.
Published: (2026)
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
by: Xu, Yixuan Even, et al.
Published: (2025)
by: Xu, Yixuan Even, et al.
Published: (2025)
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
by: Punjwani, Saif, et al.
Published: (2025)
by: Punjwani, Saif, et al.
Published: (2025)
Projected Compression: Trainable Projection for Efficient Transformer Compression
by: Stefaniak, Maciej, et al.
Published: (2025)
by: Stefaniak, Maciej, et al.
Published: (2025)
Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
Out-of-Distribution Detection using Synthetic Data Generation
by: Abbas, Momin, et al.
Published: (2025)
by: Abbas, Momin, et al.
Published: (2025)
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
by: Wang, Yiming, et al.
Published: (2024)
by: Wang, Yiming, et al.
Published: (2024)
Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness
by: Berezin, Sergei, et al.
Published: (2025)
by: Berezin, Sergei, et al.
Published: (2025)
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
by: Akhauri, Yash, et al.
Published: (2024)
by: Akhauri, Yash, et al.
Published: (2024)
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
by: Achintalwar, Swapnaja, et al.
Published: (2024)
by: Achintalwar, Swapnaja, et al.
Published: (2024)
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
by: Kagaya, Tomoyuki, et al.
Published: (2024)
by: Kagaya, Tomoyuki, et al.
Published: (2024)
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
by: Zhang, Xuechen, et al.
Published: (2024)
by: Zhang, Xuechen, et al.
Published: (2024)
Similar Items
-
ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
by: Anand, Nikhil, et al.
Published: (2026) -
Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
by: Farnik, Lucy, et al.
Published: (2025) -
Filter-then-Weight: Online Data Selection and Reweighting for LLM Fine-Tuning
by: Wang, Fangxin, et al.
Published: (2026) -
Implementing Pearl's $\mathcal{DO}$-Calculus on Quantum Circuits: A Simpson-Type Case Study on NISQ Hardware
by: Kang, Pilsung
Published: (2025) -
Quantum Entanglement as Super-Confounding: From Bell's Theorem to Robust Machine Learning
by: Kang, Pilsung
Published: (2025)