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Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts. (arXiv:2211.06607v2 [cs.CL] UPDATED) 

Benchmarking Compositionality with Formal Languages. (arXiv:2208.08195v3 [cs.CL] UPDATED) 

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. (arXiv:2308.00683v1 [cs.LG]) 

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. (arXiv:2308.00675v1 [cs.CL]) 

JIANG: Chinese Open Foundation Language Model. (arXiv:2308.00624v1 [cs.CL]) 

Unimodal Intermediate Training for Multimodal Meme Sentiment Classification. (arXiv:2308.00528v1 [cs.CL]) 

Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education. (arXiv:2308.00479v1 [cs.CL]) 

Structural Embeddings of Tools for Large Language Models. (arXiv:2308.00447v1 [cs.AI]) 

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. (arXiv:2308.00436v1 [cs.AI]) 

Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions. (arXiv:2308.00425v1 [cs.CL]) 

ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. (arXiv:2308.00400v1 [cs.CL]) 

Tackling Hallucinations in Neural Chart Summarization. (arXiv:2308.00399v1 [cs.CL]) 

Fountain -- an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification. (arXiv:2308.00364v1 [cs.CL]) 

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack. (arXiv:2308.00319v1 [cs.CL]) 

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. (arXiv:2308.00304v1 [cs.CL]) 

Making the V in Text-VQA Matter. (arXiv:2308.00295v1 [cs.CV]) 

Multi-Modality Multi-Loss Fusion Network. (arXiv:2308.00264v1 [cs.CL]) 

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. (arXiv:2308.00240v1 [cs.CL]) 

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. (arXiv:2308.00225v1 [cs.CL]) 

Advancing Beyond Identification: Multi-bit Watermark for Language Models. (arXiv:2308.00221v1 [cs.CL]) 

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