MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation. (arXiv:2211.08633v2 [cs.CL] UPDATED)
Speaking Multiple Languages Affects the Moral Bias of Language Models. (arXiv:2211.07733v2 [cs.CL] UPDATED)
Emergent Linguistic Structures in Neural Networks are Fragile. (arXiv:2210.17406v8 [cs.LG] UPDATED)
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models. (arXiv:2210.15458v2 [cs.CL] UPDATED)
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations. (arXiv:2210.07586v4 [cs.CL] UPDATED)
SQuId: Measuring Speech Naturalness in Many Languages. (arXiv:2210.06324v2 [cs.CL] UPDATED)
Best Prompts for Text-to-Image Models and How to Find Them. (arXiv:2209.11711v3 [cs.HC] UPDATED)
Do Large Language Models know what humans know?. (arXiv:2209.01515v3 [cs.CL] UPDATED)
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction. (arXiv:2207.14116v3 [cs.CL] UPDATED)
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles. (arXiv:2205.12505v5 [cs.CL] UPDATED)
Aerial Vision-and-Dialog Navigation. (arXiv:2205.12219v3 [cs.CV] UPDATED)
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph Distance. (arXiv:2203.13226v2 [cs.CL] UPDATED)
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. (arXiv:2306.00482v1 [cs.CY])
Parallel Neurosymbolic Integration with Concordia. (arXiv:2306.00480v1 [cs.AI])
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. (arXiv:2306.00477v1 [cs.CL])
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity. (arXiv:2306.00458v1 [cs.CL])
A big data approach towards sarcasm detection in Russian. (arXiv:2306.00445v1 [cs.CL])
Responsibility Perspective Transfer for Italian Femicide News. (arXiv:2306.00437v1 [cs.CL])
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension. (arXiv:2306.00435v1 [cs.CL])
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. (arXiv:2306.00434v1 [cs.CL])
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