Is Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors. (arXiv:2305.14450v1 [cs.CL])
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. (arXiv:2305.14441v1 [cs.CL])
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. (arXiv:2305.14434v1 [cs.CL])
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach. (arXiv:2305.14410v1 [cs.CV])
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. (arXiv:2305.14387v1 [cs.LG])
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. (arXiv:2305.14386v1 [cs.LG])
Finding the Pillars of Strength for Multi-Head Attention. (arXiv:2305.14380v1 [cs.LG])
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. (arXiv:2210.04325v3 [cs.CL] CROSS LISTED)
Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection. (arXiv:2305.13276v2 [cs.CL] UPDATED)
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. (arXiv:2305.13235v2 [cs.CL] UPDATED)
GPT-SW3: An Autoregressive Language Model for the Nordic Languages. (arXiv:2305.12987v2 [cs.CL] UPDATED)
Beyond Words: A Comprehensive Survey of Sentence Representations. (arXiv:2305.12641v2 [cs.CL] UPDATED)
Multilingual Simplification of Medical Texts. (arXiv:2305.12532v2 [cs.CL] UPDATED)
Evaluating the Performance of Large Language Models on GAOKAO Benchmark. (arXiv:2305.12474v2 [cs.CL] UPDATED)
Hedges in Bidirectional Translations of Publicity-Oriented Documents. (arXiv:2305.12146v2 [cs.CL] UPDATED)
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings. (arXiv:2305.11853v2 [cs.CL] UPDATED)
Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses. (arXiv:2305.11662v2 [cs.CL] UPDATED)
Learning In-context Learning for Named Entity Recognition. (arXiv:2305.11038v2 [cs.CL] UPDATED)
Language Models Meet World Models: Embodied Experiences Enhance Language Models. (arXiv:2305.10626v2 [cs.CL] UPDATED)
A Better Way to Do Masked Language Model Scoring. (arXiv:2305.10588v2 [cs.CL] UPDATED)
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