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Medical Dialogue Generation via Intuitive-then-Analytical Differential Diagnosis. (arXiv:2401.06541v1 [cs.CL]) 

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. (arXiv:2401.06532v1 [cs.CL]) 

MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. (arXiv:2401.06526v1 [cs.CL]) 

AntEval: Quantitatively Evaluating Informativeness and Expressiveness of Agent Social Interactions. (arXiv:2401.06509v1 [cs.CL]) 

An investigation of structures responsible for gender bias in BERT and DistilBERT. (arXiv:2401.06495v1 [cs.CL]) 

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. (arXiv:2401.06477v1 [cs.CL]) 

Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context Learning. (arXiv:2401.06469v1 [cs.LG]) 

Adapting Large Language Models for Document-Level Machine Translation. (arXiv:2401.06468v1 [cs.CL]) 

PersianMind: A Cross-Lingual Persian-English Large Language Model. (arXiv:2401.06466v1 [cs.CL]) 

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. (arXiv:2401.06461v1 [cs.SE]) 

BOK-VQA: Bilingual Outside Knowledge-based Visual Question Answering via Graph Representation Pretraining. (arXiv:2401.06443v1 [cs.CL]) 

From Automation to Augmentation: Large Language Models Elevating Essay Scoring Landscape. (arXiv:2401.06431v1 [cs.CL]) 

Mission: Impossible Language Models. (arXiv:2401.06416v1 [cs.CL]) 

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters. (arXiv:2401.06408v1 [cs.CL]) 

DevEval: Evaluating Code Generation in Practical Software Projects. (arXiv:2401.06401v1 [cs.SE]) 

Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model. (arXiv:2401.06400v1 [cs.CL]) 

An approach for mistranslation removal from popular dataset for Indic MT Task. (arXiv:2401.06398v1 [cs.CL]) 

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction. (arXiv:2401.06394v1 [cs.CL]) 

What should I say? -- Interacting with AI and Natural Language Interfaces. (arXiv:2401.06382v1 [cs.HC]) 

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs. (arXiv:2401.06373v1 [cs.CL]) 

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