A Survey of Context Engineering for Large Language Models Paper • 2507.13334 • Published Jul 17 • 249
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective Paper • 2506.14965 • Published Jun 17 • 49
Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence Paper • 2506.15677 • Published Jun 18 • 24
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team Paper • 2506.14234 • Published Jun 17 • 41
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents Paper • 2504.13203 • Published Apr 15 • 34
MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations Paper • 2504.07830 • Published Apr 10 • 18
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Paper • 2504.01990 • Published Mar 31 • 302
view article Article Fine-tune Llama 3.1 Ultra-Efficiently with Unsloth By mlabonne • Jul 29, 2024 • 356
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging Paper • 2502.05664 • Published Feb 8 • 24
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper • 2502.02737 • Published Feb 4 • 242
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation Paper • 2411.00412 • Published Nov 1, 2024 • 10
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation Paper • 2404.12753 • Published Apr 19, 2024 • 44
Scaling Instructable Agents Across Many Simulated Worlds Paper • 2404.10179 • Published Mar 13, 2024 • 29
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Paper • 2404.12253 • Published Apr 18, 2024 • 56
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? Paper • 2403.14624 • Published Mar 21, 2024 • 54