Search Results for author: Dhruv Agarwal

Found 8 papers, 4 papers with code

Entity Linking via Explicit Mention-Mention Coreference Modeling

1 code implementation NAACL 2022 Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

Learning representations of entity mentions is a core component of modern entity linking systems for both candidate generation and making linking predictions.

Entity Linking Re-Ranking

Data-driven Discovery with Large Generative Models

no code implementations21 Feb 2024 Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark

With the accumulation of data at an unprecedented rate, its potential to fuel scientific discovery is growing exponentially.

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

1 code implementation14 Nov 2023 Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah

We present BYOKG, a universal question-answering (QA) system that can operate on any knowledge graph (KG), requires no human-annotated training data, and can be ready to use within a day -- attributes that are out-of-scope for current KGQA systems.

In-Context Learning Program Synthesis +2

Machine Reading Comprehension using Case-based Reasoning

no code implementations24 May 2023 Dung Thai, Dhruv Agarwal, Mudit Chaudhary, Wenlong Zhao, Rajarshi Das, Manzil Zaheer, Jay-Yoon Lee, Hannaneh Hajishirzi, Andrew McCallum

Given a test question, CBR-MRC first retrieves a set of similar cases from a nonparametric memory and then predicts an answer by selecting the span in the test context that is most similar to the contextualized representations of answers in the retrieved cases.

Attribute Machine Reading Comprehension

From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation

no code implementations15 Oct 2021 Dhruv Agarwal, Tanay Agrawal, Laura M. Ferrari, François Bremond

Multimodal Deep Learning has garnered much interest, and transformers have triggered novel approaches, thanks to the cross-attention mechanism.

Knowledge Distillation Multimodal Deep Learning

Entity Linking and Discovery via Arborescence-based Supervised Clustering

1 code implementation2 Sep 2021 Dhruv Agarwal, Rico Angell, Nicholas Monath, Andrew McCallum

Previous work has shown promising results in performing entity linking by measuring not only the affinities between mentions and entities but also those amongst mentions.

Clustering Entity Linking

Solving Physics Puzzles by Reasoning about Paths

2 code implementations14 Nov 2020 Augustin Harter, Andrew Melnik, Gaurav Kumar, Dhruv Agarwal, Animesh Garg, Helge Ritter

We propose a new deep learning model for goal-driven tasks that require intuitive physical reasoning and intervention in the scene to achieve a desired end goal.


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