From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence Paper • 2511.18538 • Published Nov 23, 2025 • 279
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data Paper • 2510.02294 • Published Oct 2, 2025 • 45
Annotation-Efficient Universal Honesty Alignment Paper • 2510.17509 • Published Oct 20, 2025 • 21
Trace Anything: Representing Any Video in 4D via Trajectory Fields Paper • 2510.13802 • Published Oct 15, 2025 • 30
A Survey of Vibe Coding with Large Language Models Paper • 2510.12399 • Published Oct 14, 2025 • 49
A Survey of Vibe Coding with Large Language Models Paper • 2510.12399 • Published Oct 14, 2025 • 49
A Survey of Vibe Coding with Large Language Models Paper • 2510.12399 • Published Oct 14, 2025 • 49 • 3
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning Paper • 2509.06461 • Published Sep 8, 2025 • 19
D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning Paper • 2509.06771 • Published Sep 8, 2025 • 5
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning Paper • 2509.06461 • Published Sep 8, 2025 • 19
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning Paper • 2509.06461 • Published Sep 8, 2025 • 19 • 2
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking Paper • 2503.19602 • Published Mar 25, 2025 • 2
A Survey of Context Engineering for Large Language Models Paper • 2507.13334 • Published Jul 17, 2025 • 259
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking Paper • 2503.19602 • Published Mar 25, 2025 • 2
A Survey of Context Engineering for Large Language Models Paper • 2507.13334 • Published Jul 17, 2025 • 259