…Despite advances in stabilization techniques such as fine-grained credit assignment and trajectory filtering , instability remains pervasive and often leads to training collapse. We argue that this instability stems from inefficient exploration…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Recent progress in Large Language Model (LLM) agents has enabled promising advances in automated data science. However, existing approaches remain fundamentally limited by their…
…Tong Zheng , , , , , , Runpeng Dai , , , Tianyi Xiong , , , Abstract AutoTTS automates test-time scaling strategy discovery by formulating it as controller synthesis over reasoning trajectories and probe signals, achieving improved accuracy-cost tradeoffs with…
…This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The following papers were recommended by the Semantic Scholar API SWE-Shepherd: Advancing PRMs…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Recent advances in mobile GUI agents have shown strong potential for automating mobile tasks, but most effective systems still depend on large vision-language…
…https://researchpod.app/episode/611e7f79-5e5b-4659-bdb9-99d8d696c41e Generated automatically by ResearchPod — happy to take feedback from the authors. This is an automated message from the Librarian Bot . I found the…
…AI-generated summary High-quality 3D scene reconstruction has recently advanced toward generalizable feed-forward architectures , enabling the generation of complex environments in a single forward pass. However, despite their strong performance…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct As video diffusion models (VDMs) advance toward world models , a key question arises: do they truly understand causality , or merely overfit to statistical temporal…
…Keming Wu , Zuhao Yang , Kaichen Zhang , Shizun Wang , , , Zhongyu Yang , , , , , , , , , , , , , , , Abstract Visual generation models need to advance beyond appearance synthesis to incorporate structural, dynamic, and causal understanding through a five-level taxonomy…
…AI-generated summary Reinforcement learning has become a central paradigm for advancing reasoning in large language models , yet most existing methods still depend on stronger teacher models or heavily curated difficult datasets…