Explore · 每周精选
发现最受关注的研究论文,追踪研究趋势,订阅感兴趣的期刊与关键词。
50 篇论文 · 按点赞排序
Zhengxi Lu, Zhiyuan Yao, Jinyang Wu +7 authors
SKILL0 enables LLM agents to internalize skills during training, allowing zero-shot autonomous behavior through a dynamic curriculum that reduces contextual overhead while improving task performance.
Weikai Huang, Jieyu Zhang, Sijun Li +14 authors
A unified 3D object detection framework with a large-scale dataset enables open-world detection with multiple prompt types and geometric cue integration.
Jinghui Lu, Jiayi Guan, Zhijian Huang +47 authors
OneVL presents a unified vision-language-action framework that improves latent chain-of-thought reasoning for autonomous driving by integrating language and visual world model supervision for faster, more accurate trajectory prediction.
Chenkai Pan, Xinglong Xu, Yuhang Xu +6 authors
Training data can be structured as source code and evaluated through unit testing, enabling systematic debugging and improvement of language models' domain-specific capabilities.
Guanting Dong, Junting Lu, Junjie Huang +17 authors
Agent-World introduces a self-evolving training framework that advances general agent intelligence through autonomous environment discovery and continuous learning across diverse real-world scenarios.
Patrice Bechard, Orlando Marquez Ayala, Emily Chen +5 authors
Simple terminal-based coding agents using programmatic interfaces and foundation models can effectively perform enterprise tasks comparable to or better than complex tool-augmented agents.
Yilei Jiang, Jinyuan Hu, Qianyin Xiao +8 authors
OpenGame is an open-source agentic framework for end-to-end web game creation that uses specialized code models and evaluation benchmarks to overcome challenges in interactive application development.
Yang Liu, Enxi Wang, Yufei Gao +6 authors
MEDS is a memory-enhanced dynamic reward shaping framework that improves sampling diversity in reinforcement learning for large language models by identifying and penalizing recurrent error patterns through clustering of historical behavioral signals.
DeepReinforce Team, Xiaoya Li, Xiaofei Sun +4 authors
GrandCode is a multi-agent reinforcement learning system that outperforms human competitors in competitive programming challenges by orchestrating specialized agent modules and employing novel reward policy optimization techniques.
Xiangyang Luo, Xiaozhe Xin, Tao Feng +3 authors
CoInteract presents an end-to-end framework for human-object interaction video synthesis using a Diffusion Transformer backbone with specialized modules for structural stability and physical plausibility.
Zunhai Su, Hengyuan Zhang, Wei Wu +17 authors
Transformers face challenges from Attention Sink phenomenon where excessive attention focuses on uninformative tokens, impacting interpretability and performance, necessitating comprehensive research survey addressing fundamental usage, mechanistic understanding, and strategic mitigation approaches.
Zefeng He, Siyuan Huang, Xiaoye Qu +4 authors
GEMS is an agent-native multimodal generation framework that enhances model capabilities through structured multi-agent optimization, persistent memory, and domain-specific skills across general and downstream tasks.
Han Zhang, Guo-Hua Yuan, Chaohao Yuan +6 authors
Lingshu-Cell is a masked discrete diffusion model that learns transcriptomic state distributions and enables conditional simulation of cellular perturbations across diverse tissues and species.
Chanyoung Kim, Minwoo Kim, Minseok Kang +2 authors
Vision-Language-Action models show significant performance drops when handling paraphrased instructions due to surface-level matching rather than semantic understanding, highlighting the need for better linguistic generalization metrics.
Zaid Nasser, Mikhail Iumanov, Tianhao Li +3 authors
RADIO-ViPE is an online semantic SLAM system that provides geometry-aware open-vocabulary grounding using raw monocular RGB video without requiring calibrated inputs or depth sensors.
Eunbi Choi, Kibong Choi, Sehyun Chun +55 authors
EXAONE 4.5 is an open-weight vision language model that integrates a visual encoder into EXAONE 4.0, achieving enhanced document understanding and general language capabilities through targeted data curation and extended context length.
Pengcheng Wang, Jerry Huang, Jiarui Yao +7 authors
AgentSPEX is a domain-specific language and framework for creating structured, modular, and interpretable large language model agent workflows with explicit control flow and state management.
Donghao Zhou, Guisheng Liu, Hao Yang +9 authors
OmniShow is an end-to-end framework for human-object interaction video generation that effectively integrates multiple modalities through unified conditioning and attention mechanisms while addressing data scarcity via decoupled training strategies.
Lei Zhang, Junjiao Tian, Zhipeng Fan +9 authors
Process-driven image generation decomposes synthesis into iterative steps involving textual planning, visual drafting, textual reflection, and visual refinement, with step-wise supervision ensuring consistency and interpretability.
Zhiheng Liu, Weiming Ren, Xiaoke Huang +12 authors
Tuna-2 is a unified multimodal model that performs visual understanding and generation directly from pixel embeddings without pretrained vision encoders, achieving state-of-the-art performance in multimodal benchmarks.
北京市昌平区探索星信息技术及软件开发工作室
京ICP备2026059466号