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MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. (arXiv:2203.08388v2 [cs.CL] UPDATED) 

Recent Advances in Neural Text Generation: A Task-Agnostic Survey. (arXiv:2203.03047v2 [cs.CL] UPDATED) 

MetaQA: Combining Expert Agents for Multi-Skill Question Answering. (arXiv:2112.01922v4 [cs.CL] UPDATED) 

A Comprehensive Comparison of Pre-training Language Models. (arXiv:2106.11483v8 [cs.CL] UPDATED) 

Morality, Machines and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents. (arXiv:2103.02728v4 [cs.AI] UPDATED) 

Auditing Gender Presentation Differences in Text-to-Image Models. (arXiv:2302.03675v1 [cs.CV]) 

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery. (arXiv:2302.03668v1 [cs.LG]) 

Exploitation and exploration in text evolution. Quantifying planning and translation flows during writing. (arXiv:2302.03645v1 [cs.CL]) 

CALaMo: a Constructionist Assessment of Language Models. (arXiv:2302.03589v1 [cs.CL]) 

Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages. (arXiv:2302.03528v1 [cs.CL]) 

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. (arXiv:2302.03512v1 [cs.CL]) 

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. (arXiv:2302.03508v1 [cs.CL]) 

Meta-Learning Siamese Network for Few-Shot Text Classification. (arXiv:2302.03507v1 [cs.CL]) 

Exploring Data Augmentation for Code Generation Tasks. (arXiv:2302.03499v1 [cs.CL]) 

PAMP: A unified framework boosting low resource automatic speech recognition. (arXiv:2302.03498v1 [cs.CL]) 

Sentiment Analysis on YouTube Smart Phone Unboxing Video Reviews in Sri Lanka. (arXiv:2302.03496v1 [cs.CL]) 

A Categorical Archive of ChatGPT Failures. (arXiv:2302.03494v1 [cs.CL]) 

Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models. (arXiv:2302.03491v1 [cs.CL]) 

Natural Language Processing for Policymaking. (arXiv:2302.03490v1 [cs.CL]) 

APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning. (arXiv:2302.03488v1 [cs.CL]) 

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