11 citations · 25 across the 7 of their papers we have counts for
8 papers
CausalLM is not optimal for in-context learning
Nan Ding, Tomer Levinboim, Jialin Wu +2
Recent empirical evidence indicates that transformer based in-context learning performs better when using a prefix language model (prefixLM), in which in-context samples can all at…
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
Zifan Wang, Nan Ding, Tomer Levinboim +2
Recent research in robust optimization has shown an overfitting-like phenomenon in which models trained against adversarial attacks exhibit higher robustness on the training set co…
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding, Xi Chen, Tomer Levinboim +2
With the increasing abundance of pretrained models in recent years, the problem of selecting the best pretrained checkpoint for a particular downstream classification task has been…
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding, Xi Chen, Tomer Levinboim +2
Despite recent advances in its theoretical understanding, there still remains a significant gap in the ability of existing PAC-Bayesian theories on meta-learning to explain perform…
Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance
Xi Chen, Nan Ding, Tomer Levinboim +1
Recent advances in automatic evaluation metrics for text have shown that deep contextualized word representations, such as those generated by BERT encoders, are helpful for designi…
Reinforcing an Image Caption Generator Using Off-Line Human Feedback
Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim +2
Human ratings are currently the most accurate way to assess the quality of an image captioning model, yet most often the only used outcome of an expensive human rating evaluation i…
Quality Estimation for Image Captions Based on Large-scale Human Evaluations
Tomer Levinboim, Ashish V. Thapliyal, Piyush Sharma +1
Automatic image captioning has improved significantly over the last few years, but the problem is far from being solved, with state of the art models still often producing low qual…
Informative Image Captioning with External Sources of Information
Sanqiang Zhao, Piyush Sharma, Tomer Levinboim +1
An image caption should fluently present the essential information in a given image, including informative, fine-grained entity mentions and the manner in which these entities inte…