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Found 11 papers, 5 papers with code
Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction
In our experiments, MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.
AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content
Long document summarization systems are critical for domains with lengthy and jargonladen text, yet they present significant challenges to researchers and developers with limited computing resources.
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
The proliferation of automatic faithfulness metrics for summarization has produced a need for benchmarks to evaluate them.
Time-aware Prompting for Text Generation
Despite having less performance drop when testing on data drawn from a later time, linear prompts focus more on non-temporal information and are less sensitive to the given timestamps, according to human evaluations and sensitivity analyses.
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization
In this work, we present HIBRIDS, which injects Hierarchical Biases foR Incorporating Document Structure into the calculation of attention scores.
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
We study generating abstractive summaries that are faithful and factually consistent with the given articles.
Controllable Open-ended Question Generation with A New Question Type Ontology
We first define a new question type ontology which differentiates the nuanced nature of questions better than widely used question words.
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization
Using attention head masking, we are able to reveal the relation between encoder-decoder attentions and content selection behaviors of summarization models.
Efficient Attentions for Long Document Summarization
The quadratic computational and memory complexities of large Transformers have limited their scalability for long document summarization.
Inference Time Style Control for Summarization
How to generate summaries of different styles without requiring corpora in the target styles, or training separate models?
Deformable Stacked Structure for Named Entity Recognition
Neural architecture for named entity recognition has achieved great success in the field of natural language processing.
