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Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. (arXiv:2301.11796v1 [cs.CL]) 

Graph Attention with Hierarchies for Multi-hop Question Answering. (arXiv:2301.11792v1 [cs.CL]) 

Mo\^usai: Text-to-Music Generation with Long-Context Latent Diffusion. (arXiv:2301.11757v1 [cs.CL]) 

A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. (arXiv:2301.11749v1 [cs.CL]) 

Incorporating Knowledge into Document Summarization: an Application of Prefix-Tuning on GPT-2. (arXiv:2301.11719v1 [cs.CL]) 

Pre-training for Speech Translation: CTC Meets Optimal Transport. (arXiv:2301.11716v1 [cs.CL]) 

Semantic Network Model for Sign Language Comprehension. (arXiv:2301.11709v1 [cs.CL]) 

SLCNN: Sentence-Level Convolutional Neural Network for Text Classification. (arXiv:2301.11696v1 [cs.CL]) 

Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?. (arXiv:2301.11688v1 [cs.CL]) 

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately. (arXiv:2301.11682v1 [cs.CL]) 

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning Methods. (arXiv:2301.11660v1 [cs.CL]) 

Event Causality Extraction with Event Argument Correlations. (arXiv:2301.11621v1 [cs.CL]) 

A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks. (arXiv:2301.11608v1 [cs.CL]) 

ThoughtSource: A central hub for large language model reasoning data. (arXiv:2301.11596v1 [cs.CL]) 

Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech. (arXiv:2301.11579v1 [cs.SI]) 

Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding. (arXiv:2301.11564v1 [cs.RO]) 

Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. (arXiv:2301.11508v1 [cs.CL]) 

Semi-Parametric Video-Grounded Text Generation. (arXiv:2301.11507v1 [cs.CV]) 

Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation. (arXiv:2301.11503v1 [cs.CL]) 

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models. (arXiv:2301.11489v1 [cs.IR]) 

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