Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting, […]
Category: Large Language Model
Meet SemiKong: The World’s First Open-Source Semiconductor-Focused LLM
The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge computing technologies. The production of semiconductors involves sophisticated […]
Google DeepMind Introduces Differentiable Cache Augmentation: A Coprocessor-Enhanced Approach to Boost LLM Reasoning and Efficiency
Large language models (LLMs) are integral to solving complex problems across language processing, mathematics, and reasoning domains. Enhancements in computational […]
DeepSeek-AI Just Released DeepSeek-V3: A Strong Mixture-of-Experts (MoE) Language Model with 671B Total Parameters with 37B Activated for Each Token
The field of Natural Language Processing (NLP) has made significant strides with the development of large-scale language models (LLMs). However, […]
A Comprehensive Analytical Framework for Mathematical Reasoning in Multimodal Large Language Models
Mathematical reasoning has emerged as a critical frontier in artificial intelligence, particularly in developing Large Language Models (LLMs) capable of […]
Tsinghua University Researchers Just Open-Sourced CogAgent-9B-20241220: The Latest Version of CogAgent
Graphical User Interfaces (GUIs) are central to how users engage with software. However, building intelligent agents capable of effectively navigating […]
Qwen Team Releases QvQ: An Open-Weight Model for Multimodal Reasoning
Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding […]
Salesforce AI Research Introduces AGUVIS: A Unified Pure Vision Framework Transforming Autonomous GUI Interaction Across Platforms
Graphical User Interfaces (GUIs) play a fundamental role in human-computer interaction, providing the medium through which users accomplish tasks across […]
Why Do Task Vectors Exist in Pretrained LLMs? This AI Research from MIT and Improbable AI Uncovers How Transformers Form Internal Abstractions and the Mechanisms Behind in-Context Learning (ICL)
Large Language Models (LLMs) have demonstrated remarkable similarities to human cognitive processes’ ability to form abstractions and adapt to new […]
ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification
The transformation of unstructured news texts into structured event data represents a critical challenge in social sciences, particularly in international […]