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
Haoyu Lu, Wen Liu, Bo Zhang +11 authors
DeepSeek-VL is an open-source vision-language model that achieves state-of-the-art performance in real-world applications by combining a hybrid vision encoder with effective pretraining strategies to preserve language model capabilities.
Yanwei Li, Yuechen Zhang, Chengyao Wang +5 authors
Mini-Gemini enhances multi-modality Vision Language Models through high-resolution visual tokens, high-quality datasets, and VLM-guided generation, achieving leading performance in zero-shot benchmarks.
Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy +6 authors
Multiple RLHF algorithms, including Expert Iteration, PPO, and Return-Conditioned RL, similarly improve LLM reasoning with similar sample complexity, with Expert Iteration slightly outperforming others.
Xiangxiang Chu, Jianlin Su, Bo Zhang +1 authors
A LLaMA-like vision transformer, VisionLLaMA, is introduced for processing 2D images and achieves state-of-the-art performance in various vision tasks.
Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma +8 authors
Branch-Train-MiX (BTX) method enhances Large Language Models by asynchronously training experts in parallel and integrating them using Mixture-of-Expert layers with token-level routing for improved accuracy and efficiency.
Xiwei Hu, Rui Wang, Yixiao Fang +3 authors
ELLA, an Efficient Large Language Model Adapter, enhances text-to-image diffusion models by integrating powerful Large Language Models through a Timestep-Aware Semantic Connector, improving dense prompt comprehension and generation quality.
Dahyun Kim, Yungi Kim, Wonho Song +4 authors
A stepwise direct preference optimization approach improves the alignment of large language models with human preferences and enhances their performance.
Junsong Chen, Chongjian Ge, Enze Xie +7 authors
PixArt-\Sigma, a Diffusion Transformer model, generates high-quality 4K images more efficiently than existing models using improved data and novel token compression techniques.
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng +8 authors
Chatbot Arena, an open platform, evaluates LLMs based on human preferences using pairwise comparisons and crowdsourced votes, confirming its credibility through diverse and accurate data analysis.
Junliang Ye, Fangfu Liu, Qixiu Li +5 authors
A framework called DreamReward uses human preference feedback to enhance text-to-3D generation, producing high-fidelity and aligned 3D models.
Xiaohan Wang, Yuhui Zhang, Orr Zohar +1 authors
VideoAgent, an agent-based system using a large language model, significantly enhances long-form video understanding through interactive reasoning and efficient zero-shot accuracy on EgoSchema and NExT-QA benchmarks.
Zeqian Ju, Yuancheng Wang, Kai Shen +16 authors
NaturalSpeech 3, using factorized diffusion models, outperforms other TTS systems by generating disentangled speech attributes in a zero-shot manner.
Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan +3 authors
VLOGGER generates audio-driven human videos from a single image using a diffusion-based method that includes 3D motion and text-to-image models, outperforming existing methods in quality, identity, and consistency.
Zheng Cai, Maosong Cao, Haojiong Chen +97 authors
InternLM2 is an open-source LLM that outperforms predecessors through innovative pre-training and optimization techniques, including Supervised Fine-Tuning and Conditional Online Reinforcement Learning from Human Feedback.
Han Zhao, Min Zhang, Wei Zhao +3 authors
Cobra, a linear-complexity multimodal large language model, integrates the Mamba language model with visual modality, achieving competitive performance and faster inference speed compared to existing state-of-the-art models.
Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace +8 authors
A large-scale dataset of video-text pairs, automatically curated and annotated using multimodal models, significantly improves performance in video captioning, retrieval, and generation tasks.
Payel Das, Subhajit Chaudhury, Elliot Nelson +10 authors
Larimar, a brain-inspired architecture with distributed episodic memory, enhances LLMs for efficient, fast, and accurate knowledge updates, fact editing, and context length generalization.
Quentin Garrido, Mahmoud Assran, Nicolas Ballas +3 authors
Image World Models extend Joint-Embedding Predictive Architecture to predict global photometric transformations, offering adaptable and high-performance representations through fine-tuning.
Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster +2 authors
Experimentation with LLMs in multi-armed bandit environments reveals that robust exploration requires specific prompts, external summarization of history, or algorithmic interventions.
Anwen Hu, Haiyang Xu, Jiabo Ye +8 authors
A Unified Structure Learning framework is introduced to enhance Visual Document Understanding by integrating structure-aware parsing and multi-grained text localization tasks using a vision-to-text module H-Reducer, achieving state-of-the-art results on multiple 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