PaD: Program-aided Distillation Specializes Large Models in Reasoning. (arXiv:2305.13888v1 [cs.CL])
Narrative XL: A Large-scale Dataset For Long-Term Memory Models. (arXiv:2305.13877v1 [cs.CL])
Probing Brain Context-Sensitivity with Masked-Attention Generation. (arXiv:2305.13863v1 [cs.CL])
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models. (arXiv:2305.13862v1 [cs.CL])
Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study. (arXiv:2305.13860v1 [cs.SE])
Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation. (arXiv:2305.13857v1 [cs.CL])
Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document. (arXiv:2305.13850v1 [cs.CL])
Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation. (arXiv:2305.13844v1 [cs.CL])
Reducing Sensitivity on Speaker Names for Text Generation from Dialogues. (arXiv:2305.13833v1 [cs.CL])
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. (arXiv:2305.13831v1 [cs.SD])
Learn from Mistakes through Cooperative Interaction with Study Assistant. (arXiv:2305.13829v1 [cs.CL])
"Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures. (arXiv:2305.13826v1 [cs.CL])
An Open Dataset and Model for Language Identification. (arXiv:2305.13820v1 [cs.CL])
Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing. (arXiv:2305.13817v1 [cs.CL])
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. (arXiv:2305.13812v1 [cs.CL])
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. (arXiv:2305.13808v1 [cs.CL])
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. (arXiv:2305.13805v1 [cs.CL])
Personalized Predictive ASR for Latency Reduction in Voice Assistants. (arXiv:2305.13794v1 [cs.CL])
Can Large Language Models Infer and Disagree Like Humans?. (arXiv:2305.13788v1 [cs.CL])
Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation. (arXiv:2305.13785v1 [cs.CL])
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