Divyansh Agarwal

28 papers A* 3A 1B 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Assessment of dispersion metrics for estimating single-cell transcriptional variability.
PLoS Comput. Biol.
Tina Chen, Laurie A. Boyer, Divyansh Agarwal
2026 J jnl
CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions.
Trans. Mach. Learn. Res.
Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu
2025 A* conf
BingoGuard: LLM Content Moderation Tools with Risk Levels.
ICLR
Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu
2025 J jnl
BingoGuard: LLM Content Moderation Tools with Risk Levels.
CoRR
Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu
2025 J jnl
CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions.
CoRR
Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu
2025 — conf
Evaluating Cultural and Social Awareness of LLM Web Agents.
NAACL (Findings)
Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu
2024 A* conf
Art or Artifice? Large Language Models and the False Promise of Creativity.
CHI
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
2024 J jnl
Evaluating Cultural and Social Awareness of LLM Web Agents.
CoRR
Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu
2024 J jnl
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions.
CoRR
Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu
2024 — conf
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications.
EMNLP (Industry Track)
Divyansh Agarwal, Alexander R. Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, Chien-Sheng Wu
2024 J jnl
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification.
Biomed. Signal Process. Control.
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh
2023 J jnl
Art or Artifice? Large Language Models and the False Promise of Creativity.
CoRR
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
2023 J jnl
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond.
CoRR
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
2023 J jnl
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification.
CoRR
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, Suruchi Kumari, Pravendra Singh
2023 A* conf
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization.
EMNLP
Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu
2022 — conf
An Alternate Approach for Single Image Haze Removal Using Path Prediction.
CVIP (1)
Divyansh Agarwal, Amitesh Singh Rajput
2022 — conf
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization.
EMNLP (Findings)
Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev
2022 J jnl
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing.
CoRR
Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman
2022 J jnl
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.
CoRR
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou
2021 J jnl
BookSum: A Collection of Datasets for Long-form Narrative Summarization.
CoRR
Wojciech Kryscinski, Nazneen Fatema Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir R. Radev
2020 J jnl
Accurate and Scalable Matching of Translators to Displaced Persons for Overcoming Language Barriers.
CoRR
Divyansh Agarwal, Yuta Baba, Pratik Sachdeva, Tanya Tandon, Thomas Vetterli, Aziz Alghunaim
2020 — conf
Online Single-cell RNA-seq Data Denoising with Transfer Learning.
PEARC
Bowei Kang, Eroma Abeysinghe, Divyansh Agarwal, Quanli Wang, Sudhakar Pamidighantam, Mo Huang, Nancy Ruonan Zhang, Jingshu Wang
2019 J jnl
kROp: k-Means clustering based routing protocol for opportunistic networks.
J. Ambient Intell. Humaniz. Comput.
Deepak Kumar Sharma, Sanjay Kumar Dhurandher, Divyansh Agarwal, Kunal Arora
2018 — conf
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies.
WWW (Companion Volume)
Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
2017 A conf
From Camera to Deathbed: Understanding Dangerous Selfies on Social Media.
ICWSM
Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
2016 B conf
EDR: An Encounter and Distance Based Routing Protocol for Opportunistic Networks.
AINA
Sanjay Kumar Dhurandher, Satya Jyoti Borah, Isaac Woungang, Deepak Kumar Sharma, Kunal Arora, Divyansh Agarwal
2016 J jnl
Me, Myself and My Killfie: Characterizing and Preventing Selfie Deaths.
CoRR
Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Ponnurangam Kumaraguru
2013 — conf
Salient object detection in SfM point cloud.
NCVPRIPG
Divyansh Agarwal, Nishit Soni, Anoop M. Namboodiri