·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
China delivers a one-two punch to America’s AI dominance1h◆AI is more likely than humans to form biases when hiring3h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal8h◆SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents8h◆PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment8h◆Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length8h◆Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications8h◆DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales8h◆Testing Distributions Against Bounded Distinguishers8h◆Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?8h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes8h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems8h◆Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI8h◆CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data8h◆The AI Fiction Paradox8h◆Decoupled Alignment for Robust Plug-and-Play Adaptation8h◆Hybrid coupling with operator inference and the overlapping Schwarz alternating method8h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents8h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections8h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery8h◆China delivers a one-two punch to America’s AI dominance1h◆AI is more likely than humans to form biases when hiring3h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal8h◆SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents8h◆PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment8h◆Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length8h◆Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications8h◆DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales8h◆Testing Distributions Against Bounded Distinguishers8h◆Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?8h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes8h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems8h◆Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI8h◆CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data8h◆The AI Fiction Paradox8h◆Decoupled Alignment for Robust Plug-and-Play Adaptation8h◆Hybrid coupling with operator inference and the overlapping Schwarz alternating method8h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents8h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections8h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery8h◆
News/Rethinking the Evaluation of Harness Evolution for Agents
arxiv
PublishedJuly 15, 2026 at 4:00 AM
—neutral

Rethinking the Evaluation of Harness Evolution for Agents

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

arXiv:2607.12227v1 Announce Type: new Abstract: We revisit the evaluation of automatic harness evolution for LLM agents. Existing harness evolution methods use unit test cases to search for harness configurations and then report final performance on the same public benchmark. This protocol raises tw

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
arxivBeyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal8harxivSkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents8harxivPolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment8harxivLatency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length8h
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