Enhancing Long-Context Capabilities of Large Language Models for Analyzing Long-Structured Tables
Exploring Long-Context Capability of Large Language Models: NeedleInATable In the constantly evolving landscape of artificial intelligence, the capability of Large…
Optimizing Global River Discharge and Flood Forecasting Using a State Space Model
View a PDF of the paper titled RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting, by…
Maximizing Real-Time Human-AI Collaboration Using Dual Process Theory in a Language Agent Framework
Leveraging Dual Process Theory in Language Agent Framework for Real-time Collaboration In the rapidly evolving landscape of artificial intelligence (AI),…
Understanding LLM Mistakes: When Do Large Language Models Admit Errors and the Impact of Model Belief on Retraction?
When Do LLMs Admit Their Mistakes? Understanding the Role of Model Belief in Retraction In recent years, large language models…
Gemma 3n Now Supports On-Device Inference with RAG and Function Calling Libraries: Unlock Enhanced AI Capabilities
Google Unveils Gemma 3n: A Multimodal Powerhouse for Developers Google has recently announced that its innovative multimodal small language model,…
Assessing Cognitive Faithfulness in Large Language Models: A Legal-Inspired Framework and Dataset
markdown CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models In the world of artificial…
Optimizing Inverse Problems with Diffusion Models: Integrating Intermediate Layer Optimization and Projected Gradient Descent
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models In the realm of computational…
Advanced Autoregressive Speech Synthesis Techniques Without Vector Quantization
Unveiling MELLE: A Breakthrough in Autoregressive Speech Synthesis Introduction to MELLE The realm of text-to-speech synthesis (TTS) has seen remarkable…
Training One-Step Diffusion Models Without Distillation: A Comprehensive Approach
Towards Training One-Step Diffusion Models Without Distillation In recent years, the field of machine learning has seen impressive advancements, particularly…
Enhancing General Reasoning Skills Without Reliance on Verifiers
Exploring arXiv:2505.21493v1: Introducing the VeriFree Approach to Reinforcement Learning In recent years, the realm of artificial intelligence has witnessed a…
