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Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks. (arXiv:2210.13979v2 [cs.LG] UPDATED) 

KnowGL: Knowledge Generation and Linking from Text. (arXiv:2210.13952v2 [cs.CL] UPDATED) 

Searching for a higher power in the human evaluation of MT. (arXiv:2210.11612v2 [stat.AP] UPDATED) 

Tracing Semantic Variation in Slang. (arXiv:2210.08635v2 [cs.CL] UPDATED) 

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. (arXiv:2210.04284v5 [cs.CL] UPDATED) 

How Large Language Models are Transforming Machine-Paraphrased Plagiarism. (arXiv:2210.03568v3 [cs.CL] UPDATED) 

Machine Translation Robustness to Natural Asemantic Variation. (arXiv:2205.12514v2 [cs.CL] UPDATED) 

T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation. (arXiv:2205.12216v2 [cs.CL] UPDATED) 

Adversarial Training for High-Stakes Reliability. (arXiv:2205.01663v5 [cs.LG] UPDATED) 

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research. (arXiv:2204.13384v4 [cs.DL] UPDATED) 

A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction. (arXiv:2204.12674v2 [cs.CL] UPDATED) 

WikiOmnia: generative QA corpus on the whole Russian Wikipedia. (arXiv:2204.08009v3 [cs.CL] UPDATED) 

Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens. (arXiv:2202.01338v2 [cs.LG] UPDATED) 

Few-shot Learning with Multilingual Language Models. (arXiv:2112.10668v3 [cs.CL] UPDATED) 

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection. (arXiv:2111.07819v5 [cs.CL] UPDATED) 

Large Language Models Can Be Strong Differentially Private Learners. (arXiv:2110.05679v6 [cs.LG] UPDATED) 

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection. (arXiv:2103.12450v5 [cs.CL] UPDATED) 

Identifying Machine-Paraphrased Plagiarism. (arXiv:2103.11909v6 [cs.CL] UPDATED) 

Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities. (arXiv:2211.05756v1 [cs.CL]) 

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control. (arXiv:2211.05750v1 [cs.CL]) 

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