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Collections including paper arxiv:2511.18538
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Agent Learning via Early Experience
Paper • 2510.08558 • Published • 266 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 23 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 9 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 6
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CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Paper • 2502.05664 • Published • 24 -
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
Paper • 2312.13010 • Published • 6 -
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Paper • 2409.16299 • Published • 12 -
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
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42 minutes ago
42 minutes ago-
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 266 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 23 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 9 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 6
Collection by
6 days ago
6 days ago-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by
6 days ago
6 days ago-
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Paper • 2502.05664 • Published • 24 -
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
Paper • 2312.13010 • Published • 6 -
HyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks at Scale
Paper • 2409.16299 • Published • 12 -
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15
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6 days ago
6 days ago