TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognition. (arXiv:2306.03974v1 [cs.CL])
ECQED: Emotion-Cause Quadruple Extraction in Dialogs. (arXiv:2306.03969v1 [cs.CL])
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction. (arXiv:2306.03959v1 [cs.CL])
Recognition of Handwritten Japanese Characters Using Ensemble of Convolutional Neural Networks. (arXiv:2306.03954v1 [cs.CV])
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. (arXiv:2306.03950v1 [cs.CL])
Turning large language models into cognitive models. (arXiv:2306.03917v1 [cs.CL])
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. (arXiv:2306.02858v2 [cs.CL] UPDATED)
A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models. (arXiv:2306.02254v2 [cs.CL] UPDATED)
MultiLegalPile: A 689GB Multilingual Legal Corpus. (arXiv:2306.02069v2 [cs.CL] UPDATED)
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. (arXiv:2306.02051v2 [cs.CL] UPDATED)
Learning Multi-Step Reasoning by Solving Arithmetic Tasks. (arXiv:2306.01707v2 [cs.CL] UPDATED)
Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions. (arXiv:2306.00551v2 [cs.CL] UPDATED)
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. (arXiv:2306.00477v2 [cs.CL] UPDATED)
CapText: Large Language Model-based Caption Generation From Image Context and Description. (arXiv:2306.00301v2 [cs.LG] UPDATED)
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. (arXiv:2306.00107v2 [cs.SD] UPDATED)
Do GPTs Produce Less Literal Translations?. (arXiv:2305.16806v4 [cs.CL] UPDATED)
Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces. (arXiv:2305.12464v2 [cs.CL] UPDATED)
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models. (arXiv:2305.10276v3 [cs.CL] UPDATED)
Explanation-based Finetuning Makes Models More Robust to Spurious Cues. (arXiv:2305.04990v3 [cs.CL] UPDATED)
SI-LSTM: Speaker Hybrid Long-short Term Memory and Cross Modal Attention for Emotion Recognition in Conversation. (arXiv:2305.03506v3 [cs.CL] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
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