Super Star: Towards Streaming Real-time Interactive Agents for Digital Humans Paper • 2608.24909 • Published Jul 22 • 6
FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis Paper • 2608.18580 • Published 19 days ago • 121
AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design Paper • 2608.13560 • Published 25 days ago • 56
SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information Paper • 2608.10692 • Published 27 days ago • 12
Evo-Bench: Can Language Models Improve Agent Harness? Paper • 2608.09096 • Published 28 days ago • 18
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning Paper • 2608.03571 • Published Aug 6 • 46
SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation Paper • 2608.04419 • Published Aug 5 • 28
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning Paper • 2608.05987 • Published Aug 6 • 101
Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning Paper • 2608.02831 • Published Aug 3 • 15
Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging Paper • 2608.03316 • Published Aug 4 • 26
Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent Paper • 2608.03979 • Published Aug 4 • 53
LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks Paper • 2608.01964 • Published Aug 3 • 183
VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System Paper • 2607.27380 • Published Jul 29 • 72
view article Article Kimi K3 Model Overview: 2.8T Parameters, MXFP4 Quantization, and What the Open Weights Mean for the Community ResterChed • Jul 17 • 197
TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs Paper • 2607.17423 • Published Jul 19 • 167
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published Jul 16 • 107
VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding Paper • 2607.14935 • Published Jul 16 • 172
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence Paper • 2607.07675 • Published Jul 8 • 64