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ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation. (arXiv:2303.06458v2 [cs.CL] UPDATED) 

A Stability Analysis of Fine-Tuning a Pre-Trained Model. (arXiv:2301.09820v2 [cs.LG] UPDATED) 

MAUVE Scores for Generative Models: Theory and Practice. (arXiv:2212.14578v2 [cs.LG] UPDATED) 

Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification. (arXiv:2208.08089v2 [cs.LG] UPDATED) 

Deep Learning for Hate Speech Detection: A Comparative Study. (arXiv:2202.09517v2 [cs.CL] UPDATED) 

OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. (arXiv:2312.04440v1 [cs.CL]) 

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. (arXiv:2312.04372v1 [cs.CL]) 

PCoQA: Persian Conversational Question Answering Dataset. (arXiv:2312.04362v1 [cs.CL]) 

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. (arXiv:2312.04350v1 [cs.CL]) 

When Input Integers are Given in the Unary Numeral Representation. (arXiv:2312.04348v1 [cs.CC]) 

Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies. (arXiv:2312.04344v1 [cs.CL]) 

Merging by Matching Models in Task Subspaces. (arXiv:2312.04339v1 [cs.LG]) 

Beyond Surface: Probing LLaMA Across Scales and Layers. (arXiv:2312.04333v1 [cs.CL]) 

nerblackbox: A High-level Library for Named Entity Recognition in Python. (arXiv:2312.04306v1 [cs.CL]) 

Prompt Highlighter: Interactive Control for Multi-Modal LLMs. (arXiv:2312.04302v1 [cs.CV]) 

PsyChat: A Client-Centric Dialogue System for Mental Health Support. (arXiv:2312.04262v1 [cs.CL]) 

Swap distance minimization in SOV languages. Cognitive and mathematical foundations. (arXiv:2312.04219v1 [cs.CL]) 

Language Model Knowledge Distillation for Efficient Question Answering in Spanish. (arXiv:2312.04193v1 [cs.CL]) 

Using a Large Language Model to generate a Design Structure Matrix. (arXiv:2312.04134v1 [cs.AI]) 

Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. (arXiv:2312.04127v1 [cs.CL]) 

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