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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]) 

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. (arXiv:2211.05719v1 [cs.CL]) 

DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis. (arXiv:2211.05705v1 [cs.CL]) 

BERT in Plutarch's Shadows. (arXiv:2211.05673v1 [cs.CL]) 

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. (arXiv:2211.05655v1 [cs.CL]) 

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. (arXiv:2211.05617v1 [cs.LG]) 

BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning. (arXiv:2211.05610v1 [cs.CL]) 

An Inclusive Notion of Text. (arXiv:2211.05604v1 [cs.CL]) 

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