Overview
Decision-aware learning for geographical districting
Districting is a complex combinatorial problem that consists in partitioning a geographical area into small districts.
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
We build our dataset from triangu-lated meshes derived from Objaverse-XL and Thingi10K datasets.
Sample Selection via Contrastive Fragmentation for Noisy Label Regression Chris Dongjoo Kim
We also introduce a metric called Error Residual Ratio (ERR) to better account for varying degrees of label noise.
A Synthetic Dataset for Personal Attribute Inference Hanna Y ukhymenko
Recently powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide.
Jun Wang
With the success of deep learning, there are growing concerns over interpretability (Lipton, 2018). Ideally, the explanation should be both faithful (reflecting the model's actual behavior) and plausible
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models Yinghui Li
Inspired by the above motivation, we collect real cunning texts as our raw data from a famous Chinese online forum, the "Ruozhiba" (retard forum)