Show newer

CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions. (arXiv:2307.14522v1 [cs.CL]) 

Words That Stick: Predicting Decision Making and Synonym Engagement Using Cognitive Biases and Computational Linguistics. (arXiv:2307.14511v1 [cs.HC]) 

A Predictive Model of Digital Information Engagement: Forecasting User Engagement With English Words by Incorporating Cognitive Biases, Computational Linguistics and Natural Language Processing. (arXiv:2307.14500v1 [cs.HC]) 

Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking. (arXiv:2307.14440v1 [cs.CL]) 

Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. (arXiv:2307.14430v1 [cs.CL]) 

Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG. (arXiv:2307.14389v1 [eess.AS]) 

Leveraging Large Language Models for Mental Health Prediction via Online Text Data. (arXiv:2307.14385v1 [cs.HC]) 

How Can Large Language Models Help Humans in Design and Manufacturing?. (arXiv:2307.14377v1 [cs.CL]) 

Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. (arXiv:2307.14367v1 [q-bio.QM]) 

A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe. (arXiv:2307.14361v1 [q-bio.QM]) 

GPT-3 Models are Few-Shot Financial Reasoners. (arXiv:2307.13617v2 [cs.CL] UPDATED) 

FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. (arXiv:2307.13528v2 [cs.CL] UPDATED) 

MediaGPT : A Large Language Model For Chinese Media. (arXiv:2307.10930v2 [cs.CL] UPDATED) 

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. (arXiv:2307.08072v2 [cs.CL] UPDATED) 

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models. (arXiv:2307.06440v2 [cs.LG] UPDATED) 

MMBench: Is Your Multi-modal Model an All-around Player?. (arXiv:2307.06281v2 [cs.CV] UPDATED) 

SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering. (arXiv:2307.04192v2 [cs.CV] UPDATED) 

Derivative Free Weight-space Ensembling. (arXiv:2307.03506v2 [cs.CL] UPDATED) 

"Are you telling me to put glasses on the dog?'' Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset. (arXiv:2306.02377v2 [cs.CL] UPDATED) 

Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models. (arXiv:2306.02115v2 [cs.CL] UPDATED) 

Show older
Qoto Mastodon

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