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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