10 citations · 24 across the 9 of their papers we have counts for
5 papers · 1 filter
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving
Zhan Ling, Yunhao Fang, Xuanlin Li +5
Large Language Models (LLMs) have achieved tremendous progress, yet they still often struggle with challenging reasoning problems. Current approaches address this challenge by samp…
Painter: Teaching Auto-regressive Language Models to Draw Sketches
Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal +3
Large language models (LLMs) have made tremendous progress in natural language understanding and they have also been successfully adopted in other domains such as computer vision,…
Look, Remember and Reason: Grounded reasoning in videos with language models
Apratim Bhattacharyya, Sunny Panchal, Mingu Lee +3
Multi-modal language models (LM) have recently shown promising performance in high-level reasoning tasks on videos. However, existing methods still fall short in tasks like causal…
Differentiable bit-rate estimation for neural-based video codec enhancement
Amir Said, Manish Kumar Singh, Reza Pourreza
Neural networks (NN) can improve standard video compression by pre- and post-processing the encoded video. For optimal NN training, the standard codec needs to be replaced with a c…
Optimized learned entropy coding parameters for practical neural-based image and video compression
Amir Said, Reza Pourreza, Hoang Le
Neural-based image and video codecs are significantly more power-efficient when weights and activations are quantized to low-precision integers. While there are general-purpose tec…