SkillZip: Evaluation-Free Skill Compression for Self-Evolving Agents by Discovering Reusable Structure
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the ...
每天自动聚合 AI 领域最新动态
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the ...
Omni-modal dialogue models can understand multimodal inputs and synthesize spoken replies, yet their responses remain...
Jigsaw puzzle solving requires jointly reasoning about visual content and geometric constraints, yet existing benchma...
The rapid advancement of artificial intelligence (AI) has significantly accelerated research in time-series analysis,...
Query-based mask transformers assemble segmentation outputs through pixel-wise competition among query predictions of...
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can b...
We study reference-free post-training for multilingual machine translation with open large language models. Starting ...
Long-horizon research agents solve open-ended tasks through iterative retrieval, aggregation, and synthesis, but cont...
Fréchet distance has recently emerged as an effective distribution-level objective for generator post-training, compl...
Visual document retrieval (VDR) is dominated by multi-billion-parameter models that are slow to index at full corpus ...
Building interactive digital twins requires recovering both 3D geometry and the kinematic structures that govern how ...
Sparse mixture-of-experts (MoE) layers expand recommendation capacity through conditional computation, yet a trained ...