marktechpost5d
This AI Paper Introduces LLM-as-an-Interviewer: A Dynamic AI Framework for Comprehensive and Adaptive LLM Evaluation
Evaluating the real-world applicability of large language models (LLMs) is essential to guide their integration into practical use cases. One key challenge in assessing LLMs is their tendency to ...
marktechpost5d
REDA: A Novel AI Approach to Multi-Agent Reinforcement Learning That Makes Complex Sequence-Dependent Assignment Problems Solvable
Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...
marktechpost5d
ProTrek: A Tri-Modal Protein Language Model for Advancing Sequence-Structure-Function Analysis
Proteins, the essential molecular machinery of life, play a central role in numerous biological processes. Decoding their intricate sequence, structure, and function (SSF) is a fundamental pursuit in ...
marktechpost5d
OS-Genesis: A Novel GUI Data Synthesis Pipeline that Reverses the Conventional Trajectory Collection Process
Designing GUI agents that perform human-like tasks on graphical user interfaces faces a critical obstacle: collecting high-quality trajectory data for training. Existing methods depend on expensive ...
marktechpost5d
Qwen Researchers Introduce CodeElo: An AI Benchmark Designed to Evaluate LLMs’ Competition-Level Coding Skills Using Human-Comparable Elo Ratings
Large language models (LLMs) have brought significant progress to AI applications, including code generation. However, evaluating their true capabilities is not straightforward. Existing benchmarks, ...
marktechpost5d
Meet Android Agent Arena (A3): A Comprehensive and Autonomous Online Evaluation System for GUI Agents
The development of large language models (LLMs) has significantly advanced artificial intelligence (AI) across various fields. Among these advancements, mobile GUI agents—designed to perform tasks ...
marktechpost6d
Top 25 AI Tools for Organizing Notes in 2025
In today’s fast-paced world, staying organized is crucial for productivity, especially for professionals handling complex tasks like financial management. AI-powered note-taking tools have ...
marktechpost6d
University of South Florida Researchers Propose TeLU Activation Function for Fast and Stable Deep Learning
Inspired by the brain, neural networks are essential for recognizing images and processing language. These networks rely on activation functions, which enable them to learn complex patterns. However, ...
marktechpost6d
Mixture-of-Denoising Experts (MoDE): A Novel Generalist MoE-based Diffusion Policy
Diffusion Policies in Imitation Learning (IL) can generate diverse agent behaviors, but as models grow in size and capability, their computational demands increase, leading to slower training and ...
marktechpost6d
This AI Paper Proposes a Novel Ecosystem Integrating Agents, Sims, and Assistants for Scalable and User-Centric AI Applications
Artificial Intelligence (AI) is now an integral ingredient in automating tasks in various industries, gaining immense efficiency and better decision-making benefits. Autonomy in agents has developed ...
marktechpost6d
From Kernels to Attention: Exploring Robust Principal Components in Transformers
The self-attention mechanism is a building block of transformer architectures that faces huge challenges both in the theoretical foundations and practical implementation. Despite such successes in ...
marktechpost6d
The Thousand Brains Project: A New Paradigm in AI that is Challenging Deep Learning with Inspiration from Human Brain
We have established notable milestones in AI understanding over the past decade, especially with rapid research booming in deep learning. However, much of the ocean remains unexplored, and the shore ...