Show newer

PointLLM: Empowering Large Language Models to Understand Point Clouds. (arXiv:2308.16911v1 [cs.CV]) 

Transformers as Support Vector Machines. (arXiv:2308.16898v1 [cs.LG]) 

TouchStone: Evaluating Vision-Language Models by Language Models. (arXiv:2308.16890v1 [cs.CV]) 

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. (arXiv:2308.16884v1 [cs.CL]) 

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages. (arXiv:2308.16871v1 [cs.CL]) 

Can Programming Languages Boost Each Other via Instruction Tuning?. (arXiv:2308.16824v1 [cs.CL]) 

Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation. (arXiv:2308.16797v1 [cs.CL]) 

Towards Multilingual Automatic Dialogue Evaluation. (arXiv:2308.16795v1 [cs.CL]) 

Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules. (arXiv:2308.16770v1 [cs.CL]) 

Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection. (arXiv:2308.16763v1 [cs.CL]) 

CReHate: Cross-cultural Re-annotation of English Hate Speech Dataset. (arXiv:2308.16705v1 [cs.CL]) 

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models. (arXiv:2308.16692v1 [cs.CL]) 

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. (arXiv:2308.16688v1 [cs.CL]) 

DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew. (arXiv:2308.16687v1 [cs.CL]) 

Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. (arXiv:2308.16622v1 [cs.AI]) 

Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis. (arXiv:2308.16593v1 [cs.SD]) 

Interpreting Sentiment Composition with Latent Semantic Tree. (arXiv:2308.16588v1 [cs.CL]) 

Unsupervised Text Style Transfer with Deep Generative Models. (arXiv:2308.16584v1 [cs.CL]) 

Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information. (arXiv:2308.16577v1 [cs.SD]) 

Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection. (arXiv:2308.16549v1 [cs.CL]) 

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.