Exploring Failure Cases to Enhance Performance and Accessibility of AI-driven Proof Automation
Large language models, such as GPT-3.5 Turbo and GPT-4, have the potential to...
A Study Reveals How Misleading Explanations Can Increase Trust in AI Systems Without Ensuring Their Safety
Chain-of-thought (CoT) explanations produced by large language models (LLMs)...
Prioritizing Important Tokens to Achieve Over 3x Efficiency Improvement for 4K to 128K Token Lengths
Vcc (VIP-token centric compression) tackles the challenge of efficiently processing...
A Rigorous Evaluation Framework for Code Synthesis with Large Language Models
Existing code evaluation datasets may not fully assess the functional correctness of code generated...
Groundbreaking advancements in generative AI, neural graphics, and realistic simulations
NVIDIA Research presents around 20 papers on generative AI and neural graphics, in collaboration with...
Enhanced multi-modal reasoning and visual instruction-following capabilities with minimal additional parameters
LLaMA-Adapter V2 unlocks more learnable parameters and introduces an early fusion strategy for better...
New approach offloads attention computation to a single k-nearest-neighbor index, enabling extremely long input sequences
Unlimiformer can wrap any existing pretrained encoder-decoder transformer, allowing it...
Google's DeepMind uses Deep Reinforcement Learning to teach robots soccer skills and strategies
DeepMind trained miniature humanoid robots with 20 controllable joints to play soccer...
A closer look at the retina's role in compressing and transmitting visual data to the brain
The retina compresses a significant amount of visual information...
A novel approach extends memory and enables multi-step reasoning in large language models
Self-Notes method addresses limitations in context memory and multi-step reasoning in large...
Deep learning visionary leaves tech giant after a decade, voicing new concerns over AI's potential risks
Geoffrey Hinton, a pioneer of deep learning and AI,...
