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GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Speech Emotion Recognition. (arXiv:2306.07848v4 [cs.CL] UPDATED) 

What You See is What You Read? Improving Text-Image Alignment Evaluation. (arXiv:2305.10400v3 [cs.CL] UPDATED) 

Improving Small Language Models on PubMedQA via Generative Data Augmentation. (arXiv:2305.07804v3 [cs.CL] UPDATED) 

Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation. (arXiv:2305.07457v2 [cs.CL] UPDATED) 

In-context Autoencoder for Context Compression in a Large Language Model. (arXiv:2307.06945v1 [cs.CL]) 

mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs. (arXiv:2307.06930v1 [cs.CV]) 

DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding. (arXiv:2307.06924v1 [cs.RO]) 

LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT. (arXiv:2307.06917v1 [cs.AI]) 

Generating Benchmarks for Factuality Evaluation of Language Models. (arXiv:2307.06908v1 [cs.CL]) 

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. (arXiv:2307.06869v1 [cs.CL]) 

Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success. (arXiv:2307.06865v1 [cs.CL]) 

Self-consistency for open-ended generations. (arXiv:2307.06857v1 [cs.AI]) 

Garbage in, garbage out: Zero-shot detection of crime using Large Language Models. (arXiv:2307.06844v1 [cs.CL]) 

Personalization for BERT-based Discriminative Speech Recognition Rescoring. (arXiv:2307.06832v1 [eess.AS]) 

Negated Complementary Commonsense using Large Language Models. (arXiv:2307.06794v1 [cs.CL]) 

A Novel Site-Agnostic Multimodal Deep Learning Model to Identify Pro-Eating Disorder Content on Social Media. (arXiv:2307.06775v1 [cs.LG]) 

Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative. (arXiv:2307.06721v1 [cs.CL]) 

Unsupervised Calibration through Prior Adaptation for Text Classification using Large Language Models. (arXiv:2307.06713v1 [cs.CL]) 

To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?. (arXiv:2307.06708v1 [cs.CL]) 

Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues. (arXiv:2307.06703v1 [cs.CL]) 

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