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Found 6 papers, 0 papers with code
RealCraft: Attention Control as A Tool for Zero-Shot Consistent Video Editing
Even though large-scale text-to-image generative models show promising performance in synthesizing high-quality images, applying these models directly to image editing remains a significant challenge.
Large Language Models on Lexical Semantic Change Detection: An Evaluation
Lexical Semantic Change Detection stands out as one of the few areas where Large Language Models (LLMs) have not been extensively involved.
UniPredict: Large Language Models are Universal Tabular Classifiers
Specifically, we train a single LLM on an aggregation of 169 tabular datasets with diverse targets and compare its performance against baselines that are trained on each dataset separately.
How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing
As model and dataset sizes continue to scale in robot learning, the need to understand what is the specific factor in the dataset that affects model performance becomes increasingly urgent to ensure cost-effective data collection and model performance.
Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning
Our approach succeeds in performance while significantly saving inference steps.
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
However, there is not a unified formulation of the various schemes, as well as the comprehensive comparisons of methods across different schemes.
