文章目录~ 1.LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval Task2.Evaluating Attribute Comprehension in Large Vision-Language Models3.PropSAM: A P
文章目录~ 1.Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification2.Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications3.HiRED: Atte
文章目录~ 1.W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering2.Dynamic Adaptive Optimization for Effective Sentiment Analysis Fine-Tuning on Large Language Models3.Fact
文章目录~ 1.Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation2.Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies3.Low-Rank Quantization-Aware Tra
文章目录~ 1.Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations2.Bootstrap3D: Improving 3D Content Creation with Synthetic Data3.Video-MME: The First-Ever Compreh
文章目录~ 1.Diff-BGM: A Diffusion Model for Video Background Music Generation2.Rethinking Overlooked Aspects in Vision-Language Models3.Unifying 3D Vision-Language Understanding via Promptable Queries4
文章目录~ 1.BRAVE: Broadening the visual encoding of vision-language models2.ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling3.MedRG: Medical Report Grounding with
文章目录~ 1.Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving2.Continuous Language Model Interpolation for Dynamic and Controllable Text Gene
文章目录~ 1.Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning2.DeViDe: Faceted medical knowledge for improved medical vision-language pre-training3.Is CLIP
文章目录~ 1.Dated Data: Tracing Knowledge Cutoffs in Large Language Models2.Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models3.mPLUG-DocOwl 1.5: Unified S
论文目录~ 1.3D-VLA: A 3D Vision-Language-Action Generative World Model2.PosSAM: Panoptic Open-vocabulary Segment Anything3.Anomaly Detection by Adapting a pre-trained Vision Language Model4.Introducing
论文目录~ 1.RESTORE: Towards Feature Shift for Vision-Language Prompt Learning2.In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model3.DeepSeek-VL: Towards Real-
论文目录~ 1.Debiasing Large Visual Language Models2.Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering3.Towards a Psychology of Machines: Large Language Mode
论文目录~ 1.CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments2.Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models3.MADTP:
很多软件开发者的小伙伴,每天都在思考如何自我改进和自我发展。今天和大家介绍王小刚老师的译作《软技能:代码之外的生存技能》,从职业发展、自我营销、学习、生产力、理财、健身以及精神各个方面,介绍软件业人员所需要的软技能。 先来看看原著者和译者的亲笔签名吧。 《软技能》这本书,读起来有趣、轻松和全面,再加上小刚老师风趣的注解说明,相信大家一定会在笑声中得到收获。作者John Z. S