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Language Modeling

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Showing 10401–10425 of 14182 papers

TitleStatusHype
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets—0
FPM: A Collection of Large-scale Foundation Pre-trained Language Models—0
Machine-in-the-Loop Rewriting for Creative Image CaptioningCode0
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient FrameworkCode1
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language ModelingCode1
Effective Cross-Utterance Language Modeling for Conversational Speech Recognition—0
A text autoencoder from transformer for fast encoding language representation—0
CoreLM: Coreference-aware Language Model Fine-Tuning—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
Integrating Pretrained Language Model for Dialogue Policy Learning—0
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model—0
Language Model Pretraining and Transfer Learning for Very Low Resource Languages—0
A Fine-Grained Analysis of BERTScore—0
GTCOM Neural Machine Translation Systems for WMT21—0
NICT Kyoto Submission for the WMT’21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection—0
Small Model and In-Domain Data Are All You Need—0
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared TaskCode0
What BERT Based Language Model Learns in Spoken Transcripts: An Empirical Study—0
ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial PerspectiveCode0
How Length Prediction Influence the Performance of Non-Autoregressive Translation?—0
BART for Post-Correction of OCR Newspaper Text—0
Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios?—0
A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval GreekCode1
Unsupervised Adverbial Identification in Modern Chinese Literature—0
Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced LanguagesCode1
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