Summary of A Framework For Evaluating Llms Under Task Indeterminacy, by Luke Guerdan et al.
A Framework for Evaluating LLMs Under Task Indeterminacyby Luke Guerdan, Hanna Wallach, Solon Barocas, Alexandra…
A Framework for Evaluating LLMs Under Task Indeterminacyby Luke Guerdan, Hanna Wallach, Solon Barocas, Alexandra…
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenariosby Shantanu Jaiswal, Debaditya Roy,…
A Survey on Adversarial Robustness of LiDAR-based Machine Learning Perception in Autonomous Vehiclesby Junae Kim,…
A Unified Analysis for Finite Weight Averagingby Peng Wang, Li Shen, Zerui Tao, Yan Sun,…
Engagement-Driven Content Generation with Large Language Modelsby Erica Coppolillo, Federico Cinus, Marco Minici, Francesco Bonchi,…
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentationby Umamaheswaran…
Transformers with Sparse Attention for Granger Causalityby Riya Mahesh, Rahul Vashisht, Chandrashekar LakshminarayananFirst submitted to…
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognitionby Julian Strohmayer, Rafael Sterzinger, Matthias…
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regionsby Mai Elkady, Thu…
Explainable Finite-Memory Policies for Partially Observable Markov Decision Processesby Muqsit Azeem, Debraj Chakraborty, Sudeep Kanav,…