InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing

arXiv:2505.22156 · cs.CL · Submitted 2025-05-28 · Read on arXiv

cs.CL

Submitted: 2025-05-28

Updated: 2026-09-01

Code: https://github.com/Syon-Li/InComeS

Terminology

• RAG — 16× in this paper · explained in 3 episodes
• KV cache — 14× in this paper · explained in 3 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Ablation — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Distillation — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• In-Context Learning — 5× in this paper · explained in 4 episodes
• Attention Entropy — 4× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• In-Context Learning (ICL) — 3× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• DeepSeek-V3 Technical Report
• A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression
• UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression
• AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
• Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
• PMET: Precise Model Editing in a Transformer
• Distilling the Knowledge in a Neural Network
• Liger Kernel: Efficient Triton Kernels for LLM Training
• An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
• DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
• Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
• EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
• C-Pack: Packed Resources For General Chinese Embeddings
• Qwen2 Technical Report
• A Comprehensive Study of Knowledge Editing for Large Language Models
• Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

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