Discovering Decoupled Functional Modules in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Yanke, Li, Jin, Sun, Ying, Li, Ping, Wang, Zhefeng, Zheng, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beware of Calibration Data for Pruning Large Language Models
by: Ji, Yixin, et al.
Published: (2024)
by: Ji, Yixin, et al.
Published: (2024)
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024)
by: Zeng, Junhua, et al.
Published: (2024)
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
by: Ji, Yixin, et al.
Published: (2024)
by: Ji, Yixin, et al.
Published: (2024)
Discovering Implicit Large Language Model Alignment Objectives
by: Chen, Edward, et al.
Published: (2026)
by: Chen, Edward, et al.
Published: (2026)
The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
by: Xu, Yi, et al.
Published: (2026)
by: Xu, Yi, et al.
Published: (2026)
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
by: Zhu, Yu, et al.
Published: (2024)
by: Zhu, Yu, et al.
Published: (2024)
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
by: Zhao, Pengxiang, et al.
Published: (2024)
by: Zhao, Pengxiang, et al.
Published: (2024)
Controlling Large Language Model with Latent Actions
by: Jia, Chengxing, et al.
Published: (2025)
by: Jia, Chengxing, et al.
Published: (2025)
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
by: Xie, Zhihui, et al.
Published: (2024)
by: Xie, Zhihui, et al.
Published: (2024)
Progressive-Hint Prompting Improves Reasoning in Large Language Models
by: Zheng, Chuanyang, et al.
Published: (2023)
by: Zheng, Chuanyang, et al.
Published: (2023)
Function Vectors in Large Language Models
by: Todd, Eric, et al.
Published: (2023)
by: Todd, Eric, et al.
Published: (2023)
Can Language Models Discover Scaling Laws?
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
by: Hiremath, Shruthi K., et al.
Published: (2024)
by: Hiremath, Shruthi K., et al.
Published: (2024)
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
CLUE: Concept-Level Uncertainty Estimation for Large Language Models
by: Wang, Yu-Hsiang, et al.
Published: (2024)
by: Wang, Yu-Hsiang, et al.
Published: (2024)
Large Language Models as Agents in Two-Player Games
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models
by: Zhang, Fuxiang, et al.
Published: (2024)
by: Zhang, Fuxiang, et al.
Published: (2024)
Prompting Large Language Models for Clinical Temporal Relation Extraction
by: He, Jianping, et al.
Published: (2024)
by: He, Jianping, et al.
Published: (2024)
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
by: Zhu, Qi, et al.
Published: (2024)
by: Zhu, Qi, et al.
Published: (2024)
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model
by: Guo, Haiyang, et al.
Published: (2025)
by: Guo, Haiyang, et al.
Published: (2025)
Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models
by: Jin, Linghao, et al.
Published: (2024)
by: Jin, Linghao, et al.
Published: (2024)
Correcting Large Language Model Behavior via Influence Function
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
FASP: Fast and Accurate Structured Pruning of Large Language Models
by: Hu, Hanyu, et al.
Published: (2025)
by: Hu, Hanyu, et al.
Published: (2025)
Test-Time Training on Nearest Neighbors for Large Language Models
by: Hardt, Moritz, et al.
Published: (2023)
by: Hardt, Moritz, et al.
Published: (2023)
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
by: Ling, Zhenqing, et al.
Published: (2024)
by: Ling, Zhenqing, et al.
Published: (2024)
AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
by: Li, Zhiyuan, et al.
Published: (2026)
by: Li, Zhiyuan, et al.
Published: (2026)
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
by: Shao, Wenqi, et al.
Published: (2023)
by: Shao, Wenqi, et al.
Published: (2023)
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
by: Jin, Bowen, et al.
Published: (2024)
by: Jin, Bowen, et al.
Published: (2024)
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
by: Li, Wenzhe, et al.
Published: (2025)
by: Li, Wenzhe, et al.
Published: (2025)
Off-Policy Value-Based Reinforcement Learning for Large Language Models
by: Wang, Peng-Yuan, et al.
Published: (2026)
by: Wang, Peng-Yuan, et al.
Published: (2026)
Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
by: Zheng, Lin, et al.
Published: (2026)
by: Zheng, Lin, et al.
Published: (2026)
LocMoE: A Low-Overhead MoE for Large Language Model Training
by: Li, Jing, et al.
Published: (2024)
by: Li, Jing, et al.
Published: (2024)
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models
by: Yan, Yuping, et al.
Published: (2025)
by: Yan, Yuping, et al.
Published: (2025)
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
by: Wang, Jingcun, et al.
Published: (2024)
by: Wang, Jingcun, et al.
Published: (2024)
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
by: Li, Jianling, et al.
Published: (2025)
by: Li, Jianling, et al.
Published: (2025)
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
by: Li, Zhaoyi, et al.
Published: (2026)
by: Li, Zhaoyi, et al.
Published: (2026)
Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)
by: Rager, Can, et al.
Published: (2025)
Similar Items
-
Beware of Calibration Data for Pruning Large Language Models
by: Ji, Yixin, et al.
Published: (2024) -
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024) -
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization
by: Ji, Yixin, et al.
Published: (2024) -
Discovering Implicit Large Language Model Alignment Objectives
by: Chen, Edward, et al.
Published: (2026) -
The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
by: Xu, Yi, et al.
Published: (2026)