AI
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Latest AI council analyses in the ai category.
When both Grounding and not Grounding are Bad -- A Partially Grounded Encoding of Planning into SAT (Extended Version)
When both Grounding and not Grounding are Bad – A Partially Grounded Encoding of Planning into SAT (Extended Version)
Read more →Hyperagents
Hyperagents
Read more →Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction
Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction
Read more →Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
Don’t Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
Read more →DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
Read more →Continually self-improving AI
Continually self-improving AI
Read more →Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
Read more →Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction
Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction
Read more →Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
Don’t Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
Read more →DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
Read more →Continually self-improving AI
Continually self-improving AI
Read more →Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
Read more →Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty
Read more →SkillNet: Create, Evaluate, and Connect AI Skills
SkillNet: Create, Evaluate, and Connect AI Skills
Read more →Self-Attribution Bias: When AI Monitors Go Easy on Themselves
Self-Attribution Bias: When AI Monitors Go Easy on Themselves
Read more →Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding
Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding
Read more →Discovering mathematical concepts through a multi-agent system
Discovering mathematical concepts through a multi-agent system
Read more →Capability Thresholds and Manufacturing Topology: How Embodied Intelligence Triggers Phase Transitions in Economic Geography
Capability Thresholds and Manufacturing Topology: How Embodied Intelligence Triggers Phase Transitions in Economic Geography
Read more →Adaptive Memory Admission Control for LLM Agents
Adaptive Memory Admission Control for LLM Agents
Read more →Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants
Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants
Read more →Asymmetric Goal Drift in Coding Agents Under Value Conflict
Asymmetric Goal Drift in Coding Agents Under Value Conflict
Read more →TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?
TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?
Read more →Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Read more →How Well Do Multimodal Models Reason on ECG Signals?
How Well Do Multimodal Models Reason on ECG Signals?
Read more →EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents
EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents
Read more →DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths
DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths
Read more →TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?
TraderBench: How Robust Are AI Agents in Adversarial Capital Markets?
Read more →Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
Read more →How Well Do Multimodal Models Reason on ECG Signals?
How Well Do Multimodal Models Reason on ECG Signals?
Read more →EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents
EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents
Read more →DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths
DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths
Read more →Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace or Augment Social Scientists?
Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace or Augment Social Scientists?
Read more →Multi-Level Causal Embeddings
Multi-Level Causal Embeddings
Read more →Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
Read more →FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
Read more →Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents
Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents
Read more →Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Evaluation of Statistical and Machine Learning Approaches Using the 2021 National Survey of Children's Health
Multilevel Determinants of Overweight and Obesity Among U.S. Children Aged 10-17: Comparative Evaluation of Statistical and Machine Learning Approaches Using the 2021 National Survey of Children’s Health
Read more →An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
Read more →Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
Read more →Discovering Differences in Strategic Behavior Between Humans and LLMs
Discovering Differences in Strategic Behavior Between Humans and LLMs
Read more →LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation
LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation
Read more →Large Language Model Reasoning Failures
Large Language Model Reasoning Failures
Read more →Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning
Jackpot: Optimal Budgeted Rejection Sampling for Extreme Actor-Policy Mismatch Reinforcement Learning
Read more →Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making
Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making
Read more →Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
Read more →Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents
Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents
Read more →MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
Read more →Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education
Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education
Read more →DeepRead: Document Structure-Aware Reasoning to Enhance Agentic Search
DeepRead: Document Structure-Aware Reasoning to Enhance Agentic Search
Read more →Artificial Intelligence as Strange Intelligence: Against Linear Models of Intelligence
Artificial Intelligence as Strange Intelligence: Against Linear Models of Intelligence
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