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Rethinking Tabular Data Understanding with Large Language Models. (arXiv:2312.16702v1 [cs.CL]) 

Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss. (arXiv:2312.16682v1 [cs.CL]) 

A Large Language Model-based Computational Approach to Improve Identity-Related Write-Ups. (arXiv:2312.16659v1 [cs.CL]) 

Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model. (arXiv:2312.16623v1 [cs.CL]) 

Relationship between auditory and semantic entrainment using Deep Neural Networks (DNN). (arXiv:2312.16599v1 [cs.CL]) 

How Robust are LLMs to In-Context Majority Label Bias?. (arXiv:2312.16549v1 [cs.LG]) 

A proposed new metric for the conceptual diversity of a text. (arXiv:2312.16548v1 [cs.CL]) 

S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering. (arXiv:2312.16511v1 [cs.CL]) 

Understanding News Creation Intents: Frame, Dataset, and Method. (arXiv:2312.16490v1 [cs.CL]) 

Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection. (arXiv:2312.16488v1 [cs.CL]) 

Transfer and Alignment Network for Generalized Category Discovery. (arXiv:2312.16467v1 [cs.CL]) 

Automating Knowledge Acquisition for Content-Centric Cognitive Agents Using LLMs. (arXiv:2312.16378v1 [cs.CL]) 

LLM Polygraph: Uncovering LLMs' Factual Discernment through Intermediate Data Analysis. (arXiv:2312.16374v1 [cs.CL]) 

Task Contamination: Language Models May Not Be Few-Shot Anymore. (arXiv:2312.16337v1 [cs.CL]) 

Zur Darstellung eines mehrstufigen Prototypbegriffs in der multilingualen automatischen Sprachgenerierung: vom Korpus \"uber word embeddings bis hin zum automatischen W\"orterbuch. (arXiv:2312.16311v1 [cs.CL]) 

Contribuci\'on de la sem\'antica combinatoria al desarrollo de herramientas digitales multiling\"ues. (arXiv:2312.16309v1 [cs.CL]) 

Observable Propagation: A Data-Efficient Approach to Uncover Feature Vectors in Transformers. (arXiv:2312.16291v1 [cs.LG]) 

More than Correlation: Do Large Language Models Learn Causal Representations of Space?. (arXiv:2312.16257v1 [cs.CL]) 

Chatbot is Not All You Need: Information-rich Prompting for More Realistic Responses. (arXiv:2312.16233v1 [cs.CL]) 

Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis. (arXiv:2312.16180v1 [cs.SD]) 

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