Active Learning for Natural Language Generation. (arXiv:2305.15040v2 [cs.CL] UPDATED)
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training. (arXiv:2305.14342v3 [cs.LG] UPDATED)
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration. (arXiv:2305.14324v2 [cs.CL] UPDATED)
R2H: Building Multimodal Navigation Helpers that Respond to Help Requests. (arXiv:2305.14260v2 [cs.CL] UPDATED)
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. (arXiv:2305.13812v2 [cs.CL] UPDATED)
Towards Unsupervised Recognition of Semantic Differences in Related Documents. (arXiv:2305.13303v2 [cs.CL] UPDATED)
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. (arXiv:2305.12785v2 [cs.CL] UPDATED)
Multilingual Simplification of Medical Texts. (arXiv:2305.12532v3 [cs.CL] UPDATED)
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. (arXiv:2305.11490v4 [cs.CV] UPDATED)
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. (arXiv:2305.11171v2 [cs.CL] UPDATED)
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. (arXiv:2305.10819v2 [cs.CL] UPDATED)
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation. (arXiv:2305.09652v2 [cs.CL] UPDATED)
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. (arXiv:2305.07609v3 [cs.IR] UPDATED)
The Internal State of an LLM Knows When It's Lying. (arXiv:2304.13734v2 [cs.CL] UPDATED)
PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale. (arXiv:2304.12206v2 [cs.CL] UPDATED)
Editable User Profiles for Controllable Text Recommendation. (arXiv:2304.04250v3 [cs.IR] UPDATED)
A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection. (arXiv:2304.01492v5 [cs.CL] UPDATED)
Towards Making the Most of ChatGPT for Machine Translation. (arXiv:2303.13780v3 [cs.CL] UPDATED)
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets. (arXiv:2302.13959v2 [cs.CL] UPDATED)
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?. (arXiv:2302.11713v5 [cs.CV] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
Inspired by https://twitter.com/arxiv_cscl