:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Tao, An, Yongqi, Zhu, Kuan, Zhu, Guibo, Tang, Ming, Wang, Jinqiao
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2512.23014
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
by: An, Yongqi, et al.
Published: (2026)

Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)

MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark
by: Yi, Dongyi, et al.
Published: (2025)

Recurrent Context Compression: Efficiently Expanding the Context Window of LLM
by: Huang, Chensen, et al.
Published: (2024)

SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)

Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models
by: Ma, Kexin, et al.
Published: (2026)

FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
by: Gu, Zhaopeng, et al.
Published: (2025)

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
by: Gu, Zhaopeng, et al.
Published: (2024)

Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons
by: Leng, Yongqi, et al.
Published: (2024)

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
by: He, Jinghan, et al.
Published: (2024)

AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection
by: Gu, Zhaopeng, et al.
Published: (2025)

Auto DragGAN: Editing the Generative Image Manifold in an Autoregressive Manner
by: Cai, Pengxiang, et al.
Published: (2024)

FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
by: Gu, Zhaopeng, et al.
Published: (2024)

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
by: Liu, Zheyuan, et al.
Published: (2025)

Scaling Linear Attention with Sparse State Expansion
by: Pan, Yuqi, et al.
Published: (2025)

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis
by: Zhu, Kejian, et al.
Published: (2025)

Saliency-driven Dynamic Token Pruning for Large Language Models
by: Tao, Yao, et al.
Published: (2025)

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
by: Shi, Dan, et al.
Published: (2024)

Truth Neurons
by: Li, Haohang, et al.
Published: (2025)

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
by: Tang, Yixuan, et al.
Published: (2025)

SeLaR: Selective Latent Reasoning in Large Language Models
by: Fu, Renyu, et al.
Published: (2026)

One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
by: Cai, Hongru, et al.
Published: (2026)

Imagine How To Change: Explicit Procedure Modeling for Change Captioning
by: Sun, Jiayang, et al.
Published: (2026)

BFRFormer: Transformer-based generator for Real-World Blind Face Restoration
by: Ge, Guojing, et al.
Published: (2024)

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
by: Duan, Xinyi, et al.
Published: (2026)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
by: Gao, Shangqian, et al.
Published: (2024)

Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)

MaskPrune: Mask-based LLM Pruning for Layer-wise Uniform Structures
by: Qin, Jiayu, et al.
Published: (2025)

Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering
by: Dong, Fangan, et al.
Published: (2026)

Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
by: Zhang, Yufeng, et al.
Published: (2024)

High-Fidelity Pruning for Large Language Models
by: Zhu, Yijun, et al.
Published: (2026)

LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation
by: Zhu, Shaolin, et al.
Published: (2024)

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models
by: Ye, Rongguang, et al.
Published: (2025)

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
by: Zhu, Kun, et al.
Published: (2025)

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs
by: Zhou, Yixiao, et al.
Published: (2025)

Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
by: Ma, Xingyu, et al.
Published: (2024)

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
by: Liu, Yilun, et al.
Published: (2023)

PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
by: Yu, Byeongho, et al.
Published: (2025)

Deterministic Differentiable Structured Pruning for Large Language Models
by: Huang, Weiyu, et al.
Published: (2026)

Improving Open-Ended Text Generation via Adaptive Decoding
by: Zhu, Wenhong, et al.
Published: (2024)