·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Brian Chesky interview: AI agents need their own operating system1h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs1h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?1h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.2h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle2h◆Hearing tech startup Legato launches its AI hearing glasses3h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites4h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions12h◆Consistent Plan-Act for Long-Horizon Agentic Tasks12h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance12h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure12h◆PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents12h◆TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization12h◆COMiT: Learning Structured Visual Tokens through Sequential Communication12h◆On the (In)effectiveness of AMR Augmentation for Large Language Models12h◆cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents12h◆Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation12h◆Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations12h◆Mitigating Memorization In Language Models12h◆MoEless: Efficient MoE LLM Serving with Serverless Experts12h◆Brian Chesky interview: AI agents need their own operating system1h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs1h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?1h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.2h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle2h◆Hearing tech startup Legato launches its AI hearing glasses3h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites4h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions12h◆Consistent Plan-Act for Long-Horizon Agentic Tasks12h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance12h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure12h◆PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents12h◆TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization12h◆COMiT: Learning Structured Visual Tokens through Sequential Communication12h◆On the (In)effectiveness of AMR Augmentation for Large Language Models12h◆cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents12h◆Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation12h◆Building Socio-Affective Artificial Intelligence for Interactive Multi-Agent Simulations12h◆Mitigating Memorization In Language Models12h◆MoEless: Efficient MoE LLM Serving with Serverless Experts12h◆
News/Learning What to Forget: Distributional Unlearning for LLM Representation Spaces
arxiv
PublishedOctober 1, 2026 at 4:00 AM

Learning What to Forget: Distributional Unlearning for LLM Representation Spaces

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

arXiv:2609.38929v1 Announce Type: new Abstract: Machine learning systems increasingly face the need to remove the influence of entire data domains, such as toxic language, harmful behavior, or topical content, rather than isolated records. Recent work formalizes this problem as \emph{distributional

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
arxivReasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions12harxivConsistent Plan-Act for Long-Horizon Agentic Tasks12harxivPredictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance12harxivBoosting Adversarial Robustness and Generalization with Dictionary Structure12h
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 ↗
Built by Marouane Gazouzi
HomeModelsNews