·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion12h◆BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios12h◆DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms12h◆Inner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking Games12h◆NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment12h◆Long-Term Agent Memory through Complementary Curation and Consolidation12h◆EvoTeam: Multi-Agent Collaboration via Evolving Teams12h◆Can LLMs Faithfully Solve Ontology Engineering Tasks? A Mechanistic Interpretability Study12h◆Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?12h◆Encode Once, Answer Many: Internalizing Context via Parametric Flow12h◆Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving Agents12h◆Value Probes: Learned Value Functions for Beam-Search Red Teaming12h◆PAPERBENCHX: Can AI Reproduce Science Across Disciplines?12h◆Estimating Implicit Expected Log Density Ratios12h◆Scaling Lean Theorem Proving for Real-World Code Verification12h◆Cross Lingual Abstractive Summarization for Marathi12h◆Persona Learning from Feedback for Personalized AI Assistants12h◆OPERA: OPamp Design by an Expert-Taught Reasoning Agent, from Specifications to Layout12h◆SymKL: A Unified Representation-Space Measure of Signal Degradation12h◆Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels12h◆From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion12h◆BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios12h◆DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms12h◆Inner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking Games12h◆NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment12h◆Long-Term Agent Memory through Complementary Curation and Consolidation12h◆EvoTeam: Multi-Agent Collaboration via Evolving Teams12h◆Can LLMs Faithfully Solve Ontology Engineering Tasks? A Mechanistic Interpretability Study12h◆Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future?12h◆Encode Once, Answer Many: Internalizing Context via Parametric Flow12h◆Masked Erosion: How Acceptance Gates Lose Redundant Safeguards in Self-Improving Agents12h◆Value Probes: Learned Value Functions for Beam-Search Red Teaming12h◆PAPERBENCHX: Can AI Reproduce Science Across Disciplines?12h◆Estimating Implicit Expected Log Density Ratios12h◆Scaling Lean Theorem Proving for Real-World Code Verification12h◆Cross Lingual Abstractive Summarization for Marathi12h◆Persona Learning from Feedback for Personalized AI Assistants12h◆OPERA: OPamp Design by an Expert-Taught Reasoning Agent, from Specifications to Layout12h◆SymKL: A Unified Representation-Space Measure of Signal Degradation12h◆Heterogeneous Co-Evolution Learning for Tool-Efficient Search Agents with Zero Labels12h◆
News/LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop Evaluation
arxiv
PublishedOctober 31, 2026 at 4:00 AM

LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop Evaluation

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

arXiv:2610.39570v1 Announce Type: cross Abstract: Long-run RTL simulation of CPU candidates can take hours, while short diagnostic runs may miss performance degradation that emerges later in execution. This evaluation cost can delay design decisions in LLM-agent-based CPU development. We present a d

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
arxivFrom Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion12harxivBridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios12harxivDecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms12harxivInner-Learning: From Hand-Coded Beliefs to Declarative Knowledge in Trick-Taking Games12h
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