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THE AI WIREINTELLIGENCE THAT MATTERS

News Intelligence Research Models Markets Policy Briefings

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The AI Wire — Intelligence for the global AI ecosystem·About·Privacy·Terms·Methodology·Contact·RSS

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THE AI WIREINTELLIGENCE THAT MATTERS

News Intelligence Research Models Markets Policy Briefings

ResearchPapers Technologies

Filtering by Agents✕

RESEARCH LEAD STORY

EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use policies that are fixed before deployment. This limits their ability to adapt how they gath

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arXiv

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17 Sept 2026

RESEARCH HIGHLIGHTS

EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video

GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents

LATEST RESEARCH

EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video

GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents

RESEARCH ATLAS

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Agents122 papers

Multimodal Systems85 papers

Benchmarks68 papers

AI Safety37 papers

Retrieval20 papers

Model Efficiency7 papers

RESEARCH TIMELINE

SEPT 2026EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

SEPT 2026CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video

SEPT 2026GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents

SEPT 2026NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation

SEPT 2026SAGE: Governed Artifact Generation from Enterprise Guidelines

RECENT RESEARCH

EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents

arXiv

CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video

arXiv

GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents

arXiv

NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation

arXiv

SAGE: Governed Artifact Generation from Enterprise Guidelines

arXiv

Browse every paper →

The AI Wire — Intelligence for the global AI ecosystem·About·Privacy·Terms·Methodology·Contact·RSS

Last updated: —