4 citations · 17 across the 12 of their papers we have counts for
25 papers
Exploring the Long-Term Generalization of Counting Behavior in RNNs
Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
In this study, we investigate the generalization of LSTM, ReLU and GRU models on counting tasks over long sequences. Previous theoretical work has established that RNNs with ReLU a…
Belief Revision based Caption Re-ranker with Visual Semantic Information
Ahmed Sabir, Francesc Moreno-Noguer, Pranava Madhyastha +1
In this work, we focus on improving the captions generated by image-caption generation systems. We propose a novel re-ranking approach that leverages visual-semantic measures to id…
Numerical reasoning in machine reading comprehension tasks: are we there yet?
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Numerical reasoning based machine reading comprehension is a task that involves reading comprehension along with using arithmetic operations such as addition, subtraction, sorting,…
BERTGEN: Multi-task Generation through BERT
Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha +1
We present BERTGEN, a novel generative, decoder-only model which extends BERT by fusing multimodal and multilingual pretrained models VL-BERT and M-BERT, respectively. BERTGEN is a…
A call for better unit testing for invariant risk minimisation
Chunyang Xiao, Pranava Madhyastha
In this paper we present a controlled study on the linearized IRM framework (IRMv1) introduced in Arjovsky et al. (2020). We show that IRMv1 (and its variants) framework can be pot…
Discrete Reasoning Templates for Natural Language Understanding
Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
Reasoning about information from multiple parts of a passage to derive an answer is an open challenge for reading-comprehension models. In this paper, we present an approach that r…