SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text. (arXiv:2308.01420v1 [cs.CL])
An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model. (arXiv:2308.01415v1 [cs.CL])
HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field. (arXiv:2308.01414v1 [cs.CL])
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning. (arXiv:2308.01413v1 [cs.CL])
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles. (arXiv:2308.01408v1 [cs.CL])
Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models. (arXiv:2308.01404v1 [cs.CL])
Learning to Model the World with Language. (arXiv:2308.01399v1 [cs.CL])
Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability. (arXiv:2308.01391v1 [cs.CL])
Empirical Translation Process Research: Past and Possible Future Perspectives. (arXiv:2308.01368v1 [cs.CL])
Careful Whisper -- leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification. (arXiv:2308.01327v1 [cs.SD])
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. (arXiv:2308.01320v1 [cs.LG])
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. (arXiv:2307.16680v2 [cs.LG] UPDATED)
Gzip versus bag-of-words for text classification with KNN. (arXiv:2307.15002v4 [cs.CL] UPDATED)
Inductive reasoning in humans and large language models. (arXiv:2306.06548v2 [cs.CL] UPDATED)
Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach. (arXiv:2305.12726v2 [cs.CV] UPDATED)
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets. (arXiv:2305.02897v2 [cs.CL] UPDATED)
Are LLMs All You Need for Task-Oriented Dialogue?. (arXiv:2304.06556v2 [cs.CL] UPDATED)
OpenAGI: When LLM Meets Domain Experts. (arXiv:2304.04370v5 [cs.AI] UPDATED)
BEVBert: Multimodal Map Pre-training for Language-guided Navigation. (arXiv:2212.04385v2 [cs.CV] UPDATED)
AI Knows Which Words Will Appear in Next Year's Korean CSAT. (arXiv:2211.15426v2 [cs.CL] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
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