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TitleStatusHype
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
Extrinsic Evaluation of Machine Translation Metrics—0
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation—0
Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification—0
A Simple Feature Method for Prosody Rhythm Comparison—0
Rethinking Label Smoothing on Multi-hop Question AnsweringCode0
Enriching Relation Extraction with OpenIE—0
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning—0
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based AugmentationsCode0
What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions—0
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer—0
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages—0
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?—0
Language model acceptability judgements are not always robust to context—0
POIBERT: A Transformer-based Model for the Tour Recommendation Problem—0
Metaphorical Polysemy Detection: Conventional Metaphor meets Word Sense Disambiguation—0
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval—0
Law to Binary Tree -- An Formal Interpretation of Legal Natural Language—0
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better—0
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization—0
Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Advancing Multilingual Pre-training: TRIP Triangular Document-level Pre-training for Multilingual Language Models—0
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy—0
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation—0
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