CoSiNES: Contrastive Siamese Network for Entity Standardization. (arXiv:2306.03316v1 [cs.CL])
Few Shot Rationale Generation using Self-Training with Dual Teachers. (arXiv:2306.03315v1 [cs.CL])
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models. (arXiv:2306.03313v1 [cs.CL])
Stack Over-Flowing with Results: The Case for Domain-Specific Pre-Training Over One-Size-Fits-All Models. (arXiv:2306.03268v1 [cs.CL])
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation. (arXiv:2306.03264v1 [cs.CL])
Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models. (arXiv:2306.03241v1 [cs.LG])
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks. (arXiv:2306.03208v1 [cs.CL])
A Static Evaluation of Code Completion by Large Language Models. (arXiv:2306.03203v1 [cs.CL])
AutoScrum: Automating Project Planning Using Large Language Models. (arXiv:2306.03197v1 [cs.AI])
Easy-to-Read in Germany: A Survey on its Current State and Available Resources. (arXiv:2306.03189v1 [cs.CL])
Composition and Deformance: Measuring Imageability with a Text-to-Image Model. (arXiv:2306.03168v1 [cs.CL])
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. (arXiv:2306.03166v1 [cs.IR])
Sampling and Ranking for Digital Ink Generation on a tight computational budget. (arXiv:2306.03103v1 [cs.HC])
ChatGPT is a Remarkable Tool -- For Experts. (arXiv:2306.03102v1 [cs.HC])
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT. (arXiv:2306.01393v2 [cs.CL] UPDATED)
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. (arXiv:2306.00418v2 [cs.CL] UPDATED)
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets. (arXiv:2305.18486v2 [cs.CL] UPDATED)
In-Context Analogical Reasoning with Pre-Trained Language Models. (arXiv:2305.17626v2 [cs.AI] UPDATED)
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark. (arXiv:2305.17553v2 [cs.CL] UPDATED)
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. (arXiv:2305.17393v2 [cs.CL] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
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