Divyansh Agarwal

According to our database, Divyansh Agarwal authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Art or Artifice? Large Language Models and the False Promise of Creativity.

Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu

CoRR, 2023

SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification.

Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh

CoRR, 2023

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond.

Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu

CoRR, 2023

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.

Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.

Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou

CoRR, 2022

CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.

Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman

CoRR, 2022

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization.

Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

An Alternate Approach for Single Image Haze Removal Using Path Prediction.

Divyansh Agarwal, Amitesh Singh Rajput

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2020

Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers.

Divyansh Agarwal, Yuta Baba, Pratik Sachdeva, Tanya Tandon, Thomas Vetterli, Aziz Alghunaim

CoRR, 2020

Online Single-cell RNA-seq Data Denoising with Transfer Learning.

Bowei Kang, Eroma Abeysinghe, Divyansh Agarwal, Quanli Wang, Sudhakar Pamidighantam, Mo Huang, Nancy Ruonan Zhang, Jingshu Wang

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

2019

kROp: k-Means clustering based routing protocol for opportunistic networks.

Deepak Kumar Sharma, Sanjay Kumar Dhurandher, Divyansh Agarwal, Kunal Arora

J. Ambient Intell. Humaniz. Comput., 2019

2018

Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies.

Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

From Camera to Deathbed: Understanding Dangerous Selfies on Social Media.

Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

Me, Myself and My Killfie: Characterizing and Preventing Selfie Deaths.

Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Ponnurangam Kumaraguru

CoRR, 2016

EDR: An Encounter and Distance Based Routing Protocol for Opportunistic Networks.

Sanjay Kumar Dhurandher, Satya Jyoti Borah, Isaac Woungang, Deepak Kumar Sharma, Kunal Arora, Divyansh Agarwal

Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016

2013

Salient object detection in SfM point cloud.

Divyansh Agarwal, Nishit Soni, Anoop M. Namboodiri

Proceedings of the Fourth National Conference on Computer Vision, 2013