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…To address these limitations, we propose a token-centric dual-view learning framework that unifies prompt-based adaptation and cross-view fusion within a frozen vision transformer backbone. The framework reformulates inter…
…Bilevel Optimization for Dilution-Aware Long-Context Fine-Tuning Published on May 11 Submitted by JarvisPei on May 13 Authors: , , , , , Abstract Training framework FocuSFT improves long-context language model performance by addressing…
…Seohyun Lee , Seoung Choi , , , Abstract VideoSearch-R1 is an agentic framework that iteratively retrieves videos and refines search queries using continuous latent space refinement and policy optimization for improved video moment retrieval…
…Kumar Abhishek , Abstract A quality-guided semi-supervised learning framework for medical image segmentation that uses a dedicated quality predictor to improve pseudolabel reliability and segmentation performance. Generated by Qwen/Qwen2.5…
…From Brain Signals to Answers Published on May 28 Submitted by Roman Beliy on Jun 2 Weizmann Institute of Science Authors: , , , , Abstract Brain-IT-VQA framework decodes visual content from fMRI signals…
…Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models Published on Jun 21 Submitted by Feng Chen on Jun 23 sichuan university Authors: , , , , , , Abstract PolicyTrim is a reinforcement learning-based framework that…
…A Unified Framework for Multi-task Video Generation with Arbitrary Camera Control (2026) A Systematic Post-Train Framework for Video Generation (2026) HiDream-O1-Image: A Natively Unified Image Generative Foundation Model…
…Rohan Surana , , , , Zhenwei Tang , , , , , , , , , , , , , , Kuan-Hao Huang , , , Abstract Reinforcement learning post-training methods for large language models are analyzed through a unified framework that decomposes rollout processes into generation, filtering, control, and…
…This paper introduces AgensFlow, an open-source framework that treats multi-agent coordination as an online policy-learning problem under partial observability . The framework makes coordination decisions observable and learnable from repeated…
…We present MMDiff, a framework that transforms a frozen diffusion transformer into a multi-modal generative system that jointly produces images alongside any combination of dense perceptual modalities using lightweight decoder heads…