May 8, 2026
NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research
NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research Neuroimaging research often requires complex, manual workflows to turn raw brain sca...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
May 8, 2026
Probabilistic Dating of Historical Manuscripts via Evidential Deep Regression on Visual Script Features
Probabilistic Dating of Historical Manuscripts via Evidential Deep Regression on Visual Script Features This research introduces a new way to estimate the ag...
May 8, 2026
Market-Alignment Risk in Pricing Agents: Trace Diagnostics and Trace-Prior RL under Hidden Competitor State
Market-Alignment Risk in Pricing Agents: Trace Diagnostics and Trace-Prior RL under Hidden Competitor State explores why AI agents trained to maximize simple...
May 8, 2026
Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors This paper investigates whether AI agents, when faced with oper...
May 8, 2026
PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors
Large language model (LLM) agents are increasingly used for complex, multi-step tasks in high-stakes fields like software engineering and finance.
May 8, 2026
A Regime Theory of Controller Class Selection for LLM Action Decisions
A Regime Theory of Controller Class Selection for LLM Action Decisions When deploying language and vision-language models, developers must decide how the sys...
May 8, 2026
From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work
From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work Modern AI systems often rely on "agent loops," where a model cont...
May 8, 2026
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Researchers are investigating why large language models (LLMs) often struggle with complex...
May 8, 2026
Prediction and Empowerment: A Theory of Agency through Bridge Interfaces
Prediction and Empowerment: A Theory of Agency through Bridge Interfaces introduces a new framework for understanding how AI agents interact with the world.
May 8, 2026
Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline
Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline This research introduces a new method for aligning gen...
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