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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]) 

Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. (arXiv:2312.04103v1 [cs.AI]) 

Making Translators Privacy-aware on the User's Side. (arXiv:2312.04068v1 [cs.CR]) 

Comparing Large Language Model AI and Human-Generated Coaching Messages for Behavioral Weight Loss. (arXiv:2312.04059v1 [cs.CL]) 

Multimodal Misinformation Detection in a South African Social Media Environment. (arXiv:2312.04052v1 [cs.CL]) 

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. (arXiv:2312.04032v1 [cs.CL]) 

A Study on the Calibration of In-context Learning. (arXiv:2312.04021v1 [cs.CL]) 

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration. (arXiv:2312.03987v1 [cs.CL]) 

Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributions. (arXiv:2312.03912v1 [cs.CL]) 

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