326 citations · 439 across the 15 of their papers we have counts for
8 papers · 1 filter
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay +9
Large Language Model (LLM) leaderboards based on benchmark rankings are regularly used to guide practitioners in model selection. Often, the published leaderboard rankings are take…
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi +1
Prompt Tuning has been largely successful as a parameter-efficient method of conditioning large-scale pre-trained language models to perform downstream tasks. Thus far, soft prompt…
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning
Amrita Saha, Shafiq Joty, Steven C. H. Hoi
Neural Module Networks (NMNs) have been quite successful in incorporating explicit reasoning as learnable modules in various question answering tasks, including the most generic fo…
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra +1
We propose DuoRC, a novel dataset for Reading Comprehension (RC) that motivates several new challenges for neural approaches in language understanding beyond those offered by exist…
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph
Amrita Saha, Vardaan Pahuja, Mitesh M. Khapra +2
While conversing with chatbots, humans typically tend to ask many questions, a significant portion of which can be answered by referring to large-scale knowledge graphs (KG). While…
Towards Building Large Scale Multimodal Domain-Aware Conversation Systems
Amrita Saha, Mitesh Khapra, Karthik Sankaranarayanan
While multimodal conversation agents are gaining importance in several domains such as retail, travel etc., deep learning research in this area has been limited primarily due to th…
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation
Amrita Saha, Mitesh M. Khapra, Sarath Chandar +2
Interlingua based Machine Translation (MT) aims to encode multiple languages into a common linguistic representation and then decode sentences in multiple target languages from thi…
An Autoencoder Approach to Learning Bilingual Word Representations
Sarath Chandar A P, Stanislas Lauly, Hugo Larochelle +4
Cross-language learning allows us to use training data from one language to build models for a different language. Many approaches to bilingual learning require that we have word-l…