9 citations · 25 across the 12 of their papers we have counts for
12 papers
When Can We Trust the Sparse Lens? A Certification Framework for SAE Faithfulness
Dibyanayan Bandyopadhyay, Asif Ekbal
Sparse autoencoders (SAEs) are increasingly used to study internal representations in language models (LMs), but it remains unclear when an SAE-based representation reliably preser…
Sparse Semantic Dimension as a Generalization Certificate for LLMs
Dibyanayan Bandyopadhyay, Asif Ekbal
Standard statistical learning theory predicts that Large Language Models (LLMs) should overfit because their parameter counts vastly exceed the number of training tokens. Yet, in p…
CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
Dibyanayan Bandyopadhyay, Soham Bhattacharjee, Mohammed Hasanuzzaman +1
Multimodal classifiers function as opaque black box models. While several techniques exist to interpret their predictions, very few of them are as intuitive and accessible as natur…
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal +1
Large Language Models (LLMs) are rapidly reshaping machine translation (MT), particularly by introducing instruction-following, in-context learning, and preference-based alignment…
Thinking Machines: A Survey of LLM based Reasoning Strategies
Dibyanayan Bandyopadhyay, Soham Bhattacharjee, Asif Ekbal
Large Language Models (LLMs) are highly proficient in language-based tasks. Their language capabilities have positioned them at the forefront of the future AGI (Artificial General…
Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
Dibyanayan Bandyopadhyay, Mohammed Hasanuzzaman, Asif Ekbal
Detecting offensive memes is crucial, yet standard deep neural network systems often remain opaque. Various input attribution-based methods attempt to interpret their behavior, but…
Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection
Samrat Mukherjee, Dibyanayan Bandyopadhyay, Baban Gain +1
Diabetic Retinopathy (DR) is a prevalent illness associated with Diabetes which, if left untreated, can result in irreversible blindness. Deep Learning based systems are gradually…
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
Baban Gain, Dibyanayan Bandyopadhyay, Samrat Mukherjee +2
Neural Machine Translation (NMT) has made remarkable progress using large-scale textual data, but the potential of incorporating multimodal inputs, especially visual information, r…
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task
Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal
Neural Machine Translation (NMT) is a predominant machine translation technology nowadays because of its end-to-end trainable flexibility. However, NMT still struggles to translate…
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De +2
In this article, we present a description of our systems as a part of our participation in the shared task namely Artificial Intelligence for Legal Assistance (AILA 2019). This is…
IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT
Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh +1
Natural Language Processing (NLP) and Information Retrieval (IR) in the judicial domain is an essential task. With the advent of availability domain-specific data in electronic for…
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh +1
This paper presents the experiments accomplished as a part of our participation in the MEDIQA challenge, an (Abacha et al., 2019) shared task. We participated in all the three task…