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Counterfactual Debiasing for Generating Factually Consistent Text Summaries. (arXiv:2305.10736v1 [cs.CL]) 

Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders. (arXiv:2305.10734v1 [cs.SD]) 

Analyzing Norm Violations in Live-Stream Chat. (arXiv:2305.10731v1 [cs.CL]) 

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency. (arXiv:2305.10713v1 [cs.CL]) 

NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. (arXiv:2305.10709v1 [cs.CL]) 

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. (arXiv:2305.10703v1 [cs.CL]) 

MolXPT: Wrapping Molecules with Text for Generative Pre-training. (arXiv:2305.10688v1 [cs.CL]) 

RMSSinger: Realistic-Music-Score based Singing Voice Synthesis. (arXiv:2305.10686v1 [cs.SD]) 

Paxion: Patching Action Knowledge in Video-Language Foundation Models. (arXiv:2305.10683v1 [cs.CV]) 

Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System. (arXiv:2305.10680v1 [cs.SD]) 

Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation. (arXiv:2305.10679v1 [cs.AI]) 

a unified front-end framework for english text-to-speech synthesis. (arXiv:2305.10666v1 [cs.CL]) 

Speech Separation based on Contrastive Learning and Deep Modularization. (arXiv:2305.10652v1 [cs.SD]) 

ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs. (arXiv:2305.10649v1 [cs.SD]) 

BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. (arXiv:2305.10647v1 [cs.CL]) 

Are Large Language Models Fit For Guided Reading?. (arXiv:2305.10645v1 [cs.CL]) 

Language Models Meet World Models: Embodied Experiences Enhance Language Models. (arXiv:2305.10626v1 [cs.CL]) 

ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. (arXiv:2305.10615v1 [cs.SD]) 

Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions. (arXiv:2305.10614v1 [cs.CL]) 

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. (arXiv:2305.10613v1 [cs.CL]) 

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