3 citations · 8 across the 9 of their papers we have counts for
10 papers
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
Few Shot Rationale Generation using Self-Training with Dual Teachers
Aditya Srikanth Veerubhotla, Lahari Poddar, Jun Yin +2
Self-rationalizing models that also generate a free-text explanation for their predicted labels are an important tool to build trustworthy AI applications. Since generating explana…
Deploying a Retrieval based Response Model for Task Oriented Dialogues
Lahari Poddar, György Szarvas, Cheng Wang +3
Task-oriented dialogue systems in industry settings need to have high conversational capability, be easily adaptable to changing situations and conform to business constraints. Thi…
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling
Lahari Poddar, Peiyao Wang, Julia Reinspach
Retrieval-based conversational systems learn to rank response candidates for a given dialogue context by computing the similarity between their vector representations. However, tra…
Attention Guided Dialogue State Tracking with Sparse Supervision
Shuailong Liang, Lahari Poddar, Gyuri Szarvas
Existing approaches to Dialogue State Tracking (DST) rely on turn level dialogue state annotations, which are expensive to acquire in large scale. In call centers, for tasks like m…
A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings
Lahari Poddar, Gyorgy Szarvas, Lea Frermann
The meaning of a word often varies depending on its usage in different domains. The standard word embedding models struggle to represent this variation, as they learn a single glob…