…Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models (2026) Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction (2026) Local Intrinsic Dimension Unveils Hallucinations in Diffusion…
…AI-generated summary While Test-Time Scaling (TTS) offers a promising direction to enhance video generation without the surging costs of training, current test-time video generation methods based on diffusion models…
…Ziyu Chen , , Abstract Large language models generate research ideas that cluster around specific opportunity patterns and paradigms, diverging systematically from the broader and more diverse distributions found in human research papers. Generated…
…Language-based Localization and 3D Reasoning with Vision-Language Models (2026) DLWM: Dual Latent World Models enable Holistic Gaussian-centric Pre-training in Autonomous Driving (2026) Latent-WAM: Latent World Action Modeling…
…Hey Great blog post! I noticed you published the models tested for the Gaia/Math benchmarking—thanks for sharing that. I was wondering if you could let me know which server you…
…localization under a three-axis reward jointly targeting the what, where, and who of an audit verdict. Across AFTraj-2K and an external Who\&When benchmark, AgentForesight-7B outperforms leading proprietary models…
…AI-generated summary While text-to-image models have made strong progress in visual fidelity, faithfully realizing complex visual intents remains challenging because many requirements must be tracked across grounding, generation, and…
…local detection + placeholder substitution + SQLite lookup are low-latency operations works as a drop-in privacy layer for existing cloud agents / memory systems 5) Open-Source MemPrivacy Models We release a family…
…George Wu , , Qing Yi , , , , , , , Abstract TMAS is a multi-agent framework for test-time scaling that enhances large language model reasoning through structured collaboration and hierarchical memory systems. AI-generated summary Test…
…This creates cross-model adversarial pressure that drives robustness beyond intra-model self-play. Evaluated on the Core War domain, a competitive programming benchmark in which Redcode warrior programs battle inside a…