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Collections including paper arxiv:2511.18538

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

Interesting papers

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Paper • 2510.08002 • Published Oct 9 • 23
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9 • 9
The Denario project: Deep knowledge AI agents for scientific discovery

Paper • 2510.26887 • Published Oct 30 • 6

Software Engineering

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

about 20 hours ago

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

Software Engineering

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

Interesting papers

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published 18 days ago • 256

Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9 • 266
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Paper • 2510.08002 • Published Oct 9 • 23
Self-Improving LLM Agents at Test-Time

Paper • 2510.07841 • Published Oct 9 • 9
The Denario project: Deep knowledge AI agents for scientific discovery

Paper • 2510.26887 • Published Oct 30 • 6

about 20 hours ago

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 18
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

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