Controllable Data Augmentation for Context-Dependent Text-to-SQL. (arXiv:2304.13902v1 [cs.CL])
Neural Keyphrase Generation: Analysis and Evaluation. (arXiv:2304.13883v1 [cs.CL])
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. (arXiv:2304.13875v1 [cs.CL])
Transferring Procedural Knowledge across Commonsense Tasks. (arXiv:2304.13867v1 [cs.CL])
Is a prompt and a few samples all you need? Using GPT-4 for data augmentation in low-resource classification tasks. (arXiv:2304.13861v1 [cs.CL])
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. (arXiv:2304.13846v1 [physics.app-ph])
Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models. (arXiv:2304.13835v1 [cs.CL])
Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models. (arXiv:2304.13803v1 [cs.CL])
Fine Tuning with Abnormal Examples. (arXiv:2304.13783v1 [cs.CL])
The Internal State of an LLM Knows When its Lying. (arXiv:2304.13734v1 [cs.CL])
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model. (arXiv:2304.13731v1 [eess.AS])
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. (arXiv:2304.13712v2 [cs.CL] UPDATED)
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. (arXiv:2304.13273v2 [cs.CV] UPDATED)
Extreme Classification for Answer Type Prediction in Question Answering. (arXiv:2304.12395v2 [cs.CL] UPDATED)
Graph Neural Networks for Text Classification: A Survey. (arXiv:2304.11534v2 [cs.CL] UPDATED)
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction. (arXiv:2304.11015v2 [cs.CL] UPDATED)
A Survey of Large Language Models. (arXiv:2303.18223v8 [cs.CL] UPDATED)
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. (arXiv:2303.10794v2 [cs.LG] UPDATED)
Symbolic Discovery of Optimization Algorithms. (arXiv:2302.06675v3 [cs.LG] UPDATED)
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning. (arXiv:2301.13808v3 [cs.CL] UPDATED)
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