LLM Digest

Story

arxiv_cs_ai · Oct 30, 2026 · paper

Source brief

Compression Technique Interactions in Small Language Models: A Factorial Ablation Study

arxiv.orgOct 30, 2026
original source linked

In brief

Deploying small language models on resource-constrained hardware requires compression, yet practitioners lack systematic guidance on how quantization, pruning, and post-compression recovery interact when combined. We...

Feed lens

evaluation

Read the original at arxiv.org →Open in live feed Read that day’s brief

Compression Technique Interactions in Small Language Models: A Factorial Ablation Study

Earlier in this thread 4 items

Do Context Files Help Coding Agents? A Two-Agent Ablation Study on Real Repos

From Training Exposure to Membership Evidence: A Controlled Study of OLMo 2

Can LLMs Faithfully Solve Ontology Engineering Tasks? A Mechanistic Interpretability Study

Do Language Models Trust Their Own Justifications? A Study on Functional Consistency