StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling Paper • 2608.15089 • Published 12 days ago • 442
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning Paper • 2608.09888 • Published 17 days ago • 756
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning Paper • 2607.21653 • Published Jul 22 • 32
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published Jul 14 • 235
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation Paper • 2607.05147 • Published Jul 6 • 47
PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems Paper • 2606.22388 • Published Jun 21 • 96
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 159
FastContext: Training Efficient Repository Explorer for Coding Agents Paper • 2606.14066 • Published Jun 12 • 96
JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence Paper • 2606.14777 • Published Jun 10 • 217
LightThinker++: From Reasoning Compression to Memory Management Paper • 2604.03679 • Published Apr 4 • 38
Query-focused and Memory-aware Reranker for Long Context Processing Paper • 2602.12192 • Published Feb 12 • 59
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space Paper • 2512.24617 • Published Dec 31, 2025 • 67
NVIDIA Nemotron v3 Collection Open, Production-ready Enterprise Models • 33 items • Updated 12 days ago • 363
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models Paper • 2506.06395 • Published Jun 5, 2025 • 135