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Oct 21, 2023 · To this end, we propose a pre-trained model namely PaperLM to learn the representation of examination papers. Our model integrates both the text ...
Oct 25, 2023 · ABSTRACT. Representation learning of examination papers is significantly cru- cial for online education systems, as it benefits various ...
Jan 26, 2019 · Building on the recent success of language model pretraining methods for learning flat representations of text, we propose algorithms for pre- ...
Missing: PaperLM: Examination
PaperLM. Source code for the CIKM 2023 paper "PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning". Environment.
Representation learning of examination papers is the cornerstone of the Examination Paper Analysis (EPA) in education area including Paper Difficulty ...
Jul 15, 2021 · Representation learning of examination papers is the cornerstone of the Examination Paper Analysis (EPA) in education area including. Paper ...
Missing: PaperLM: | Show results with:PaperLM:
In this paper, we address these challenges by proposing two novel approaches to pre-train document- level hierarchical representations. Both methods pre-train ...
Missing: PaperLM: Examination
Detecting out-of-distribution inputs for visual recogni- tion models has become critical in safe deep learning. This paper proposes a novel hierarchical ...
Missing: PaperLM: | Show results with:PaperLM:
Abstract. This paper studies task adaptive pre-trained model selection, an underexplored problem of assessing pre-trained models for the target task and ...