Genre
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Current methods for identifying adversarial prompts aimed at "attacking" LLMs and eliciting undesirable outputs are limited by several factors.
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
The vast amount of data required to model wildfires at a larger scale presents difficulties in the collection and curation of the data.
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
Work done during an internship at Tencent AI Lab.
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting communication and research. Auslan, as a sign language specific to Australia, still lacks a dedicated large-scale word-level dataset for the ISLR task.
Trust Y our: Gradient-based Intervention Targeting for Causal Discovery
Often, observational data alone is not enough to uniquely identify a system's causal structure.
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
Albeit it is crucial for autonomous driving and night vision, this problem has not been yet focused on as much as other object detection (OD).
Sparse Parameterization for Epitomic Dataset Distillation Xing Wei
Source code is available at https://github.com/MIV-XJTU/SPEED .
Multi-Agent Domain Calibration with a Handful of Offline Data
Domain transfer methods aim to bridge this dynamics gap through techniques such as domain adaptation or domain calibration.