Artificial intelligence in psychology research. (arXiv:2302.07267v2 [cs.HC] UPDATED)
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction. (arXiv:2302.06860v2 [cs.CL] UPDATED)
Towards Inferential Reproducibility of Machine Learning Research. (arXiv:2302.04054v3 [cs.LG] UPDATED)
UDApter -- Efficient Domain Adaptation Using Adapters. (arXiv:2302.03194v2 [cs.CL] UPDATED)
Multimodal Chain-of-Thought Reasoning in Language Models. (arXiv:2302.00923v3 [cs.CL] UPDATED)
Causal Reasoning of Entities and Events in Procedural Texts. (arXiv:2301.10896v3 [cs.CL] UPDATED)
Deep Learning Models to Study Sentence Comprehension in the Human Brain. (arXiv:2301.06340v2 [cs.CL] UPDATED)
Neighborhood-Regularized Self-Training for Learning with Few Labels. (arXiv:2301.03726v2 [cs.LG] UPDATED)
Choosing the Number of Topics in LDA Models -- A Monte Carlo Comparison of Selection Criteria. (arXiv:2212.14074v2 [cs.CL] UPDATED)
Talking About Large Language Models. (arXiv:2212.03551v5 [cs.CL] UPDATED)
Surrogate Gradient Spiking Neural Networks as Encoders for Large Vocabulary Continuous Speech Recognition. (arXiv:2212.01187v2 [cs.CL] UPDATED)
Reward Gaming in Conditional Text Generation. (arXiv:2211.08714v2 [cs.CL] UPDATED)
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods. (arXiv:2211.08369v2 [cs.CL] UPDATED)
WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation. (arXiv:2211.06862v2 [cs.CL] UPDATED)
Can language models handle recursively nested grammatical structures? A case study on comparing models and humans. (arXiv:2210.15303v3 [cs.CL] UPDATED)
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. (arXiv:2210.07321v3 [cs.CL] UPDATED)
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. (arXiv:2210.07269v2 [cs.CL] UPDATED)
Learning Disentangled Representations for Natural Language Definitions. (arXiv:2210.02898v2 [cs.CL] UPDATED)
Recitation-Augmented Language Models. (arXiv:2210.01296v2 [cs.CL] UPDATED)
Write and Paint: Generative Vision-Language Models are Unified Modal Learners. (arXiv:2206.07699v2 [cs.CV] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
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