·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Bridging the Gap: Converting Read Text to Conversational Dialogue4h◆Sharp and Stable Label-Free Calibration Certificates from Logical Coherence4h◆Backward Compatibility in Zero-Bit Neural Audio Watermarking4h◆Disagreement-Guided Weak-to-Strong Routing4h◆One Is Not Enough: How People Use Multiple AI Models in Everyday Life4h◆Compression Does Not End at Selection: Post-Selection Positional Geometry for Sparse KV Caches4h◆Unfragmenting Nawatl NMT: Single-Variant Specialization for Masewalkopa4h◆Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits4h◆BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks4h◆Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minimax Theory4h◆ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space4h◆Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution4h◆DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription4h◆Size-Transferability of Graph Transformers with Convolutional Positional Encodings4h◆Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment4h◆Mind the Gap: Structure-Aware Consistency in Preference Learning4h◆Do LLMs have core beliefs?4h◆Boltzmann generators for amorphous particle systems4h◆Diffusion Models in Simulation-Based Inference: A Tutorial Review4h◆Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks4h◆Bridging the Gap: Converting Read Text to Conversational Dialogue4h◆Sharp and Stable Label-Free Calibration Certificates from Logical Coherence4h◆Backward Compatibility in Zero-Bit Neural Audio Watermarking4h◆Disagreement-Guided Weak-to-Strong Routing4h◆One Is Not Enough: How People Use Multiple AI Models in Everyday Life4h◆Compression Does Not End at Selection: Post-Selection Positional Geometry for Sparse KV Caches4h◆Unfragmenting Nawatl NMT: Single-Variant Specialization for Masewalkopa4h◆Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits4h◆BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks4h◆Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minimax Theory4h◆ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space4h◆Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution4h◆DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription4h◆Size-Transferability of Graph Transformers with Convolutional Positional Encodings4h◆Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment4h◆Mind the Gap: Structure-Aware Consistency in Preference Learning4h◆Do LLMs have core beliefs?4h◆Boltzmann generators for amorphous particle systems4h◆Diffusion Models in Simulation-Based Inference: A Tutorial Review4h◆Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks4h◆
News/Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction
arxiv
PublishedOctober 15, 2026 at 4:00 AM

Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction

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

arXiv:2609.27355v2 Announce Type: replace-cross Abstract: Unlearning ensures LLM compliance by removing the influence of private or copyrighted training data. However, since LLM models typically undergo post-training compression, like quantization, in practical deployment, it has been observed that

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

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
arxivBridging the Gap: Converting Read Text to Conversational Dialogue4harxivSharp and Stable Label-Free Calibration Certificates from Logical Coherence4harxivBackward Compatibility in Zero-Bit Neural Audio Watermarking4harxivDisagreement-Guided Weak-to-Strong Routing4h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews