Search Results for author: Sujay Kumar Jauhar

Found 25 papers, 4 papers with code

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

no code implementations11 Apr 2024 Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang

Scientific Research, vital for improving human life, is hindered by its inherent complexity, slow pace, and the need for specialized experts.

Language Modelling Large Language Model +1

TnT-LLM: Text Mining at Scale with Large Language Models

no code implementations18 Mar 2024 Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application.

Knowledge-Centric Templatic Views of Documents

no code implementations13 Jan 2024 Isabel Cachola, Silviu Cucerzan, Allen herring, Vuksan Mijovic, Erik Oveson, Sujay Kumar Jauhar

Thus, in our work, we consider each of these documents to be templatic views of the same underlying knowledge, and we aim to unify the generation and evaluation of these templatic views of documents.

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion

no code implementations10 Nov 2023 Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen herring, Sujay Kumar Jauhar

Specifically, we construct an entity-centric knowledge store for each user based on their search and browsing activities on the web, which is then leveraged to provide contextually relevant LLM prompt augmentations.

Knowledge Graphs

Making Large Language Models Better Data Creators

1 code implementation31 Oct 2023 Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen W. White, Sujay Kumar Jauhar

In our experiments we demonstrate that instruction-following LLMs are highly cost-effective data creators, and that models trained with these data exhibit performance better than those trained with human-labeled data (by up to 17. 5%) on out-of-distribution evaluation, while maintaining comparable performance on in-distribution tasks.

Instruction Following Prompt Engineering +1

MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed

1 code implementation LREC 2022 Sujay Kumar Jauhar, Nirupama Chandrasekaran, Michael Gamon, Ryen W. White

Tasks are a fundamental unit of work in the daily lives of people, who are increasingly using digital means to keep track of, organize, triage and act on them.


Learning to Decompose and Organize Complex Tasks

1 code implementation NAACL 2021 Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, Dan Roth

Both components of our graph induction solution are evaluated in experiments, demonstrating that our models outperform a state-of-the-art text generator significantly.


Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring

no code implementations18 Aug 2020 Bahareh Sarrafzadeh, Sujay Kumar Jauhar, Michael Gamon, Edward Lank, Ryen White

Writing is a complex non-linear process that begins with a mental model of intent, and progresses through an outline of ideas, to words on paper (and their subsequent refinement).

Modeling the Relationship between User Comments and Edits in Document Revision

no code implementations IJCNLP 2019 Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu

Thus, in this paper we explore the relationship between comments and edits by defining two novel, related tasks: Comment Ranking and Edit Anchoring.


Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer

no code implementations2 Nov 2018 Sujay Kumar Jauhar, Michael Gamon, Patrick Pantel

In this paper, we present a general framework for easily and effectively transferring neural models from English to other languages.

Cross-Lingual Transfer

TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions

no code implementations12 Feb 2016 Sujay Kumar Jauhar, Peter Turney, Eduard Hovy

We describe two new related resources that facilitate modelling of general knowledge reasoning in 4th grade science exams.

General Knowledge Multiple-choice +1

Cannot find the paper you are looking for? You can Submit a new open access paper.