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Found 6 papers, 1 papers with code
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
Automatic Essay Scoring (AES) is a well-established educational pursuit that employs machine learning to evaluate student-authored essays.
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
Invariant representation learning (IRL) encourages the prediction from invariant causal features to labels de-confounded from the environments, advancing the technical roadmap of out-of-distribution (OOD) generalization.
Variants of Tagged Sentential Decision Diagrams
The standard ones minimize the size of sentential decision diagrams (SDDs) while the zero-suppressed trimming rules have the same objective as the standard ones but for zero-suppressed sentential decision diagrams (ZSDDs).
An Investigation of Darwiche and Pearl's Postulates for Iterated Belief Update
Firstly, we present a modification of the original KM postulates based on belief states.
VSRQ: Quantitative Assessment Method for Safety Risk of Vehicle Intelligent Connected System
We evaluate the model on OpenPilot and experimentally demonstrate the effectiveness of the VSRQ model in identifying the safety of vehicle intelligent connected systems.
A Retrospect to Multi-prompt Learning across Vision and Language
The vision community is undergoing the unprecedented progress with the emergence of Vision-Language Pretraining Models (VLMs).
