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A Survey of Large Language Models. (arXiv:2303.18223v4 [cs.CL] UPDATED) 

Capabilities of GPT-4 on Medical Challenge Problems. (arXiv:2303.13375v2 [cs.CL] UPDATED) 

Sparks of Artificial General Intelligence: Early experiments with GPT-4. (arXiv:2303.12712v4 [cs.CL] UPDATED) 

Mind meets machine: Unravelling GPT-4's cognitive psychology. (arXiv:2303.11436v2 [cs.CL] UPDATED) 

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Name Entity Recognition. (arXiv:2302.13610v2 [cs.CL] UPDATED) 

VLSP2022-EVJVQA Challenge: Multilingual Visual Question Answering. (arXiv:2302.11752v4 [cs.CL] UPDATED) 

Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media. (arXiv:2302.07731v2 [cs.CL] UPDATED) 

Continual Pre-training of Language Models. (arXiv:2302.03241v4 [cs.CL] UPDATED) 

Momentum Contrastive Pre-training for Question Answering. (arXiv:2212.05762v2 [cs.CL] UPDATED) 

Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. (arXiv:2212.02908v5 [cs.HC] UPDATED) 

Measuring Reliability of Large Language Models through Semantic Consistency. (arXiv:2211.05853v2 [cs.CL] UPDATED) 

Gendered Mental Health Stigma in Masked Language Models. (arXiv:2210.15144v2 [cs.CL] UPDATED) 

LittleBird: Efficient Faster & Longer Transformer for Question Answering. (arXiv:2210.11870v2 [cs.CL] UPDATED) 

Decomposed Prompting: A Modular Approach for Solving Complex Tasks. (arXiv:2210.02406v2 [cs.CL] UPDATED) 

Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning. (arXiv:2209.09803v2 [cs.SI] UPDATED) 

Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology. (arXiv:2208.05140v4 [eess.IV] UPDATED) 

Innovations in Neural Data-to-text Generation: A Survey. (arXiv:2207.12571v2 [cs.CL] UPDATED) 

NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages. (arXiv:2205.15960v2 [cs.CL] UPDATED) 

Evaluating the Diversity, Equity and Inclusion of NLP Technology: A Case Study for Indian Languages. (arXiv:2205.12676v3 [cs.CL] UPDATED) 

Do we need Label Regularization to Fine-tune Pre-trained Language Models?. (arXiv:2205.12428v2 [cs.LG] UPDATED) 

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