·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI5h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval5h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence5h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents5h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems5h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model5h◆SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts5h◆Elite political incivility is rising across democracies5h◆Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation5h◆Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control5h◆Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL5h◆Similarity-Aware Personalized Federated Learning in Heterogeneous Environments5h◆Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models5h◆UE5M3 FP4 Block Scaling for Stable Language Model Pretraining5h◆Network-Aware Forecasting on Wireless Access Points5h◆Monotonic anomaly detection5h◆Cantelli Constrained Policy Optimization5h◆Secure AI-Driven Super-Resolution for Real-Time Mixed Reality Applications5h◆From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching5h◆Optimal Transport for Network Comparison: A Review with Machine Learning Applications5h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI5h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval5h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence5h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents5h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems5h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model5h◆SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts5h◆Elite political incivility is rising across democracies5h◆Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation5h◆Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control5h◆Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL5h◆Similarity-Aware Personalized Federated Learning in Heterogeneous Environments5h◆Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models5h◆UE5M3 FP4 Block Scaling for Stable Language Model Pretraining5h◆Network-Aware Forecasting on Wireless Access Points5h◆Monotonic anomaly detection5h◆Cantelli Constrained Policy Optimization5h◆Secure AI-Driven Super-Resolution for Real-Time Mixed Reality Applications5h◆From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching5h◆Optimal Transport for Network Comparison: A Review with Machine Learning Applications5h◆
News/Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2
arxiv
PublishedJune 15, 2026 at 4:00 AM
—neutral

Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2512.22671v3 Announce Type: replace-cross Abstract: Structured width pruning of GLU-MLP layers in Llama-3.2 models, guided by the Peak-to-Peak Magnitude (PPM) criterion, reveals a systematic dichotomy in how reducing the expansion ratio affects different model capabilities. While performance o

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI5harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval5harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence5harxivDocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents5h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews