Can Computation from Earlier Problems Help LLMs Solve New Ones? Paper • 2609.39394 • Published 6 days ago • 8
CorrGRPO: Correlation-Normalized GRPO for Multi-Reward Learning Paper • 2609.36820 • Published 7 days ago • 34
HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses Paper • 2609.15938 • Published 22 days ago • 31
SenseNova-U1.5: Towards Native Unified Visual Intelligence Paper • 2609.11929 • Published 26 days ago • 277
BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference Paper • 2609.04971 • Published Sep 4 • 43
Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training Paper • 2608.26730 • Published Aug 27 • 155
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Paper • 2609.02749 • Published Sep 2 • 408
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving Paper • 2609.00111 • Published Aug 31 • 316
Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination Paper • 2608.14391 • Published Aug 14 • 287
Alaya-EVOKE: From Linear-Scaling Supervision to Endless World Paper • 2608.13546 • Published Aug 13 • 143
Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing Paper • 2608.11660 • Published Aug 12 • 11
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Paper • 2608.00677 • Published Aug 1 • 266
Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains Paper • 2608.05138 • Published Aug 5 • 32
GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience Paper • 2608.02392 • Published Aug 3 • 16
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Paper • 2607.28568 • Published Jul 30 • 188