·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Deontic Policies for Runtime Governance of Agentic AI Systems49m◆Hidden Anchors in Multi-Agent LLM Deliberation49m◆DeXposure-Claw: An Agentic System for DeFi Risk Supervision49m◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data49m◆Analyzing the Narration Gap in LLM-Solver Loops49m◆Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why49m◆Which Pairs to Compare for LLM Post-Training?49m◆Toten: Knowledge-Based Ontological Tokenization Of Physical Quantities And Technical Notation In Brazilian Portuguese49m◆AI4SE and SE4AI Exploration: A Decade Looking Back and Forward49m◆BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation49m◆Denoising Implicit Feedback for Cold-start Recommendation49m◆Exit-and-Join Dynamics for Decentralized Coalition Formation49m◆Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents49m◆GLARE: A Natural Language Interface for Querying Global Explanations49m◆Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks49m◆A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Composition49m◆Benchmarking Agentic Review Systems49m◆Grounded Inference: Principles for Deterministically Encapsulated Generative Models49m◆Optimal Scheduling in a Question-Answering Forum of Knowledge Workers49m◆Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning49m◆Deontic Policies for Runtime Governance of Agentic AI Systems49m◆Hidden Anchors in Multi-Agent LLM Deliberation49m◆DeXposure-Claw: An Agentic System for DeFi Risk Supervision49m◆LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data49m◆Analyzing the Narration Gap in LLM-Solver Loops49m◆Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why49m◆Which Pairs to Compare for LLM Post-Training?49m◆Toten: Knowledge-Based Ontological Tokenization Of Physical Quantities And Technical Notation In Brazilian Portuguese49m◆AI4SE and SE4AI Exploration: A Decade Looking Back and Forward49m◆BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation49m◆Denoising Implicit Feedback for Cold-start Recommendation49m◆Exit-and-Join Dynamics for Decentralized Coalition Formation49m◆Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents49m◆GLARE: A Natural Language Interface for Querying Global Explanations49m◆Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks49m◆A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Composition49m◆Benchmarking Agentic Review Systems49m◆Grounded Inference: Principles for Deterministically Encapsulated Generative Models49m◆Optimal Scheduling in a Question-Answering Forum of Knowledge Workers49m◆Beyond Entropy: Learning from Token-Level Distributional Deviations for LLM Reasoning49m◆
News/Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse?
arxiv
PublishedJune 16, 2026 at 4:00 AM

Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse?

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

arXiv:2606.15696v1 Announce Type: new Abstract: Correct Information Units (CIUs) are central to discourse assessment in aphasia because they quantify communicative informativeness rather than linguistic form alone. However, CIU scoring is time intensive and requires trained raters. This study examin

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
arxivDeontic Policies for Runtime Governance of Agentic AI Systems49marxivHidden Anchors in Multi-Agent LLM Deliberation49marxivDeXposure-Claw: An Agentic System for DeFi Risk Supervision49marxivLLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data49m
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