Hypernetwork Fields: Efficient Gradient-Driven Training for Scalable Neural Network Optimization
Hypernetworks have gained attention for their ability to efficiently adapt large models...
This AI Paper Explores How Formal Systems Could Revolutionize Math LLMs
Formal mathematical reasoning represents a significant frontier in artificial intelligence, addressing fundamental...
Camel-AI Open Sourced OASIS: A Next Generation Simulator for Realistic Social Media Dynamics with...
Social media platforms have revolutionized human interaction, creating dynamic environments where millions...
Collective Monte Carlo Tree Search (CoMCTS): A New Learning-to-Reason Method for Multimodal Large Language...
In today’s world, Multimodal large language models (MLLMs) are advanced systems that...
YuLan-Mini: A 2.42B Parameter Open Data-efficient Language Model with Long-Context Capabilities and Advanced Training...
Large language models (LLMs) built using transformer architectures heavily depend on pre-training...
Quasar-1: A Rigorous Mathematical Framework for Temperature-Guided Reasoning in Language Models
Large language models (LLMs) encounter significant difficulties in performing efficient and logically...
Unveiling Privacy Risks in Machine Unlearning: Reconstruction Attacks on Deleted Data
Machine unlearning is driven by the need for data autonomy, allowing individuals...
Meet SemiKong: The World’s First Open-Source Semiconductor-Focused LLM
The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge...
AWS Researchers Propose LEDEX: A Machine Learning Training Framework that Significantly Improves the Self-Debugging...
Code generation using Large Language Models (LLMs) has emerged as a critical...
Meet AIArena: A Blockchain-Based Decentralized AI Training Platform
The monopolization of any industry into the hands of a few giant...
