SeDeM: Selective Decompression of Hidden-State Memories for Long-Context Question Answering

arXiv:2608.00311 · cs.CL · Submitted 2026-07-31 · Read on arXiv

cs.CL

Submitted: 2026-07-31

Updated: 2026-09-10

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Decoder — 111× in this paper · explained in 2 episodes
• LoRA Adapters — 12× in this paper · explained in 3 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Transformer — 11× in this paper · explained in 2 episodes
• Distillation — 8× in this paper · explained in 2 episodes
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Effective Rank — 5× in this paper · explained in 2 episodes
• KV cache — 4× in this paper · explained in 4 episodes
• Papers — 4× in this paper · explained in 3 episodes
• Transformers — 3× in this paper · explained in 2 episodes
• Attention Sinks — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Wasserstein Distance — 2× in this paper · explained in 6 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Clarity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Faithfulness — 1× in this paper · explained in 2 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• KV Cache Compression — 1× in this paper · explained in 2 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Quantization — 1× in this paper · explained in 15 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Training Objective — 1× in this paper · explained in 3 episodes
• Two-Stage Optimization — 1× in this paper · explained in 2 episodes
• Two-Stage Training Recipe — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 5 episodes

Sources

• CompLLM: Compression for Long Context Q&A
• PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
• The Llama 3 Herd of Models
• Fix the Structural Bottleneck: Context Compression via Explicit Information Transmission
• Long Context Compression with Activation Beacon

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