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Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material. (arXiv:2211.09710v1 [cs.CL]) 

PromptCap: Prompt-Guided Task-Aware Image Captioning. (arXiv:2211.09699v1 [cs.CV]) 

The Effectiveness of Bidirectional Generative Patent Language Models. (arXiv:2211.09690v1 [cs.CL]) 

Analyse der Entwicklungstreiber milit\"arischer Schwarmdrohnen durch Natural Language Processing. (arXiv:2211.09680v1 [cs.CL]) 

Cross-Modal Adapter for Text-Video Retrieval. (arXiv:2211.09623v1 [cs.CV]) 

Towards Building Text-To-Speech Systems for the Next Billion Users. (arXiv:2211.09536v1 [cs.CL]) 

Ignore Previous Prompt: Attack Techniques For Language Models. (arXiv:2211.09527v1 [cs.CL]) 

Hey ASR System! Why Aren't You More Inclusive? Automatic Speech Recognition Systems' Bias and Proposed Bias Mitigation Techniques. A Literature Review. (arXiv:2211.09511v1 [cs.CL]) 

Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation. (arXiv:2211.09495v1 [cs.SD]) 

Abstractive Summarization Guided by Latent Hierarchical Document Structure. (arXiv:2211.09458v1 [cs.CL]) 

Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation. (arXiv:2211.09455v1 [cs.CL]) 

Feature-augmented Machine Reading Comprehension with Auxiliary Tasks. (arXiv:2211.09438v1 [cs.CL]) 

Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired. (arXiv:2211.09427v1 [cs.CV]) 

LongFNT: Long-form Speech Recognition with Factorized Neural Transducer. (arXiv:2211.09412v1 [cs.SD]) 

Open-Domain Conversational Question Answering with Historical Answers. (arXiv:2211.09401v1 [cs.CL]) 

ConNER: Consistency Training for Cross-lingual Named Entity Recognition. (arXiv:2211.09394v1 [cs.CL]) 

Data-Efficient Autoregressive Document Retrieval for Fact Verification. (arXiv:2211.09388v1 [cs.CL]) 

Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking. (arXiv:2211.09379v1 [cs.CL]) 

Execution-based Evaluation for Data Science Code Generation Models. (arXiv:2211.09374v1 [cs.SE]) 

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. (arXiv:2211.09267v1 [cs.CL]) 

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