BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
Paper • 2608.09888 • Published • 786
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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 • 285 -
EnvHarness: Awakening Static Worlds for Agent Learning
Paper • 2608.19880 • Published • 174 -
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution
Paper • 2608.00677 • Published • 265 -
On-Policy Self-Distillation without Any Supervision
Paper • 2608.06296 • Published • 179 -
LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks
Paper • 2608.01964 • Published • 187 -
Zetta ζ: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence
Paper • 2608.16590 • Published • 152 -
HarnessEval-W: Agentifying the Evaluation of Visual Worlds
Paper • 2608.16859 • Published • 121 -
DarwinX: Evolving Agent Harnesses Through Natural Selection
Paper • 2608.07545 • Published • 116 -
Mental World Modeling
Paper • 2607.27201 • Published • 61 -
Self-Supervised Visual On-Policy Distillation
Paper • 2608.14144 • Published • 125 -
From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement
Paper • 2607.23802 • Published • 95 -
DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation
Paper • 2608.13489 • Published • 101 -
SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning
Paper • 2608.14277 • Published • 36 -
Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution
Paper • 2608.08311 • Published • 94 -
ASI-Bench: At the Dawn of Artificial Superintelligence
Paper • 2608.17271 • Published • 66 -
SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs
Paper • 2608.03573 • Published • 61 -
VibeWorlding: Can Multimodal Agents Construct 3D Open Worlds End-to-End?
Paper • 2608.15265 • Published • 60 -
HelloWorld: Enabling Socially Interactive Characters in Video World Models
Paper • 2608.05070 • Published • 40