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Deep neural networks have drastically evolved over the years, overcoming common challenges that arise when training these complex models.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world...
In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed...
Table of contents What is a Personal Health Agent? How does the PHA framework operate? How was the PHA evaluated?...
arXiv:2509.04439v1 Announce Type: cross Abstract: While inference-time scaling enables LLMs to carry out increasingly long and capable reasoning traces, the...
arXiv:2509.03888v1 Announce Type: new Abstract: Large Language Models (LLMs) can comply with harmful instructions, raising serious safety concerns despite their...
arXiv:2509.04011v1 Announce Type: cross Abstract: We present NER Retriever, a zero-shot retrieval framework for ad-hoc Named Entity Retrieval, a variant...
arXiv:2502.18452v3 Announce Type: replace Abstract: During Human Robot Interactions in disaster relief scenarios, Large Language Models (LLMs) have the potential...
Table of contents The Growing Role of AI in Biomedical Research The Core Challenge: Matching Expert-Level Reasoning Why Traditional Approaches...
Alibaba Releases OpenSandbox to Provide Software Developers with a Unified, Secure, and Scalable API for Autonomous AI Agent Execution
Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models
Alibaba Qwen Team Releases Qwen3.5 Omni: A Native Multimodal Model for Text, Audio, Video, and Realtime Interaction
Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards
Alibaba Qwen Team Releases Qwen-VLo: A Unified Multimodal Understanding and Generation Model
Alibaba Qwen Team Introduces Qwen3.5-LiveTranslate-Flash: Real-Time Multimodal Interpretation Across 60 Languages at 2.8-Second Latency
Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date
Alibaba AI Unveils Qwen3-Max Preview: A Trillion-Parameter Qwen Model with Super Fast Speed and Quality
Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data
ALARB: An Arabic Legal Argument Reasoning Benchmark
