Aug 10, 2026
Interaction Creates Dynamical AI Behavior Absent in Isolation
Interaction Creates Dynamical AI Behavior Absent in Isolation explores how AI agents change their behavior when they interact with one another, specifically...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Aug 10, 2026
PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents
PsychoAgent is a cognitive architecture designed to help LLM agents manage memory and decision-making in ways that mirror human cognition, specifically when...
Aug 7, 2026
From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems
From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems proposes a new framework to help hospitals...
Aug 7, 2026
TS-RAG: Retrieval Augmented Generation for Time Series Forecasting
TS-RAG: Retrieval Augmented Generation for Time Series Forecasting introduces a framework that adapts Retrieval-Augmented Generation (RAG) to improve the acc...
Aug 7, 2026
CogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?
CogVis is a framework designed to improve Open-Vocabulary Change Detection (OVCD) in remote sensing by decoupling temporal perception from semantic reasoning...
Aug 7, 2026
Contextual Information Policy Optimization for Search Agents
Contextual Information Policy Optimization (CIPO) is a reinforcement learning framework designed to improve how search agents use external evidence during mu...
Aug 7, 2026
TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories
TRAJDEBUG is a framework designed to identify the specific, earliest error in a long-horizon agent trajectory that causes a final task failure.
Aug 7, 2026
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations
Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations introduces a method for document retrieval that replaces traditional "chunk...
Aug 7, 2026
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
FinEvo-Bench is a longitudinal benchmark designed to measure how effectively AI agents learn from experience to improve their performance in professional fin...
Aug 7, 2026
Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents
Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents introduces a new benchmark, InvestLogicBen...
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