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Visual Spatial Reasoning. (arXiv:2205.00363v2 [cs.CL] UPDATED) 

A Latent-Variable Model for Intrinsic Probing. (arXiv:2201.08214v2 [cs.CL] UPDATED) 

Composable Sparse Fine-Tuning for Cross-Lingual Transfer. (arXiv:2110.07560v2 [cs.CL] UPDATED) 

What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study. (arXiv:2110.04845v3 [cs.CL] UPDATED) 

Learning From How Humans Correct. (arXiv:2102.00225v13 [cs.CL] UPDATED) 

Offsite-Tuning: Transfer Learning without Full Model. (arXiv:2302.04870v1 [cs.CL]) 

Learning by Asking for Embodied Visual Navigation and Task Completion. (arXiv:2302.04865v1 [cs.CV]) 

Knowledge is a Region in Weight Space for Fine-tuned Language Models. (arXiv:2302.04863v1 [cs.LG]) 

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. (arXiv:2302.04858v1 [cs.CV]) 

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. (arXiv:2302.04834v1 [cs.CL]) 

Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT. (arXiv:2302.04818v1 [cs.CY]) 

Explanation Selection Using Unlabeled Data for In-Context Learning. (arXiv:2302.04813v1 [cs.CL]) 

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions. (arXiv:2302.04811v1 [cs.CL]) 

Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages. (arXiv:2302.04790v1 [cs.CL]) 

Toolformer: Language Models Can Teach Themselves to Use Tools. (arXiv:2302.04761v1 [cs.CL]) 

Lightweight Transformers for Clinical Natural Language Processing. (arXiv:2302.04725v1 [cs.CL]) 

Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings. (arXiv:2302.04716v1 [cs.CL]) 

Augmenting NLP data to counter Annotation Artifacts for NLI Tasks. (arXiv:2302.04700v1 [cs.CL]) 

Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models. (arXiv:2302.04662v1 [cs.PL]) 

A Novel Approach for Auto-Formulation of Optimization Problems. (arXiv:2302.04643v1 [cs.CL]) 

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