12 citations · 26 across the 13 of their papers we have counts for
13 papers
Agentic Control Center for Data Product Optimization
Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai +3
Data products enable end users to gain greater insights about their data by providing supporting assets, such as example question-SQL pairs which can be answered using the data or…
Automatic Prompt Engineering with No Task Cues and No Tuning
Faisal Chowdhury, Nandana Mihindukulasooriya, Niharika S D'Souza +4
This paper presents a system for automatic prompt engineering that is much simpler in both design and application and yet as effective as the existing approaches. It requires no tu…
Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study
Nandana Mihindukulasooriya, Niharika S. D'Souza, Faisal Chowdhury +1
A KG represents a network of entities and illustrates relationships between them. KGs are used for various applications, including semantic search and discovery, reasoning, decisio…
Re2G: Retrieve, Rerank, Generate
Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury +3
As demonstrated by GPT-3 and T5, transformers grow in capability as parameter spaces become larger and larger. However, for tasks that require a large amount of knowledge, non-para…
Knowledge Graph Induction enabling Recommending and Trend Analysis: A Corporate Research Community Use Case
Nandana Mihindukulasooriya, Mike Sava, Gaetano Rossiello +7
A research division plays an important role of driving innovation in an organization. Drawing insights, following trends, keeping abreast of new research, and formulating strategie…
KGI: An Integrated Framework for Knowledge Intensive Language Tasks
Md Faisal Mahbub Chowdhury, Michael Glass, Gaetano Rossiello +2
In this paper, we present a system to showcase the capabilities of the latest state-of-the-art retrieval augmented generation models trained on knowledge-intensive language tasks,…
Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation
Md Faisal Mahbub Chowdhury, Gaetano Rossiello, Michael Glass +2
In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies. In…
Robust Retrieval Augmented Generation for Zero-shot Slot Filling
Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury +1
Automatically inducing high quality knowledge graphs from a given collection of documents still remains a challenging problem in AI. One way to make headway for this problem is thr…
Template Controllable keywords-to-text Generation
Abhijit Mishra, Md Faisal Mahbub Chowdhury, Sagar Manohar +2
This paper proposes a novel neural model for the understudied task of generating text from keywords. The model takes as input a set of un-ordered keywords, and part-of-speech (POS)…
Hypernym Detection Using Strict Partial Order Networks
Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo +2
This paper introduces Strict Partial Order Networks (SPON), a novel neural network architecture designed to enforce asymmetry and transitive properties as soft constraints. We appl…
An Efficient Approach for Super and Nested Term Indexing and Retrieval
Md Faisal Mahbub Chowdhury, Robert Farrell
This paper describes a new approach, called Terminological Bucket Indexing (TBI), for efficient indexing and retrieval of both nested and super terms using a single method. We prop…
A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search
Md Faisal Mahbub Chowdhury, Vijil Chenthamarakshan, Rishav Chakravarti +1
State of the art approaches for (embedding based) unsupervised semantic search exploits either compositional similarity (of a query and a passage) or pair-wise word (or term) simil…
Language Independent Acquisition of Abbreviations
Michael R. Glass, Md Faisal Mahbub Chowdhury, Alfio M. Gliozzo
This paper addresses automatic extraction of abbreviations (encompassing acronyms and initialisms) and corresponding long-form expansions from plain unstructured text. We create an…