Kartik Sharma

According to our database, Kartik Sharma authored at least 32 papers between 2012 and 2026.

Collaborative distances:

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

2026

An Exterior Method for Nonnegative Matrix Factorization.

Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh, Kartik Sharma, Vwani Roychowdhury

CoRR, May, 2026

COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics.

Kartik Sharma, Rakshit S. Trivedi

CoRR, March, 2026

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression.

Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

GESA: Graph-Enhanced Semantic Allocation for Generalized, Fair, and Explainable Candidate-Role Matching.

Rishi Ashish Shah, Shivaay Dhondiyal, Kartik Sharma, Sukriti Talwar, Saksham Jain, Sparsh Jain

CoRR, September, 2025

Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings.

Kartik Sharma, Yiqiao Jin, Rakshit S. Trivedi, Srijan Kumar

CoRR, August, 2025

Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts.

Kartik Sharma, Yiqiao Jin, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar

CoRR, June, 2025

OpenThoughts: Data Recipes for Reasoning Models.

Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt

CoRR, June, 2025

A Thousand Words or An Image: Studying the Influence of Persona Modality in Multimodal LLMs.

Julius Broomfield, Kartik Sharma, Srijan Kumar

CoRR, February, 2025

Personalized Layer Selection for Graph Neural Networks.

Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das

Trans. Mach. Learn. Res., 2025

Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination.

Rakshit S. Trivedi, Kartik Sharma, David C. Parkes

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

OG-RAG: Ontology-grounded retrieval-augmented generation for large language models.

Kartik Sharma, Peeyush Kumar, Yunqing Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Who Speaks Matters: Analysing the Influence of the Speaker's Linguistic Identity on Hate Classification.

Ananya Malik, Kartik Sharma, Shaily Bhatt, Lynnette Hui Xian Ng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

A Survey of Graph Neural Networks for Social Recommender Systems.

Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar

ACM Comput. Surv., October, 2024

<i>Who Speaks Matters</i>: Analysing the Influence of the Speaker's Ethnicity on Hate Classification.

Ananya Malik, Kartik Sharma, Lynnette Hui Xian Ng, Shaily Bhatt

CoRR, 2024

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections.

Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar

CoRR, 2024

NoBALL: A Novel BDD-based Attack against Logic Locking.

Praveen Karmakar, Anmoldeep Singh, Kartik Sharma, Chandan Karfa, Sukanta Bhattacharjee

Proceedings of the IEEE International Test Conference in Asia, 2024

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation.

Kartik Sharma, Srijan Kumar, Rakshit S. Trivedi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space.

Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023

A Survey on Explainability of Graph Neural Networks.

Jaykumar Kakkad, Jaspal Jannu, Kartik Sharma, Charu Aggarwal, Sourav Medya

IEEE Data Eng. Bull., 2023

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models.

Kartik Sharma, Rakshit S. Trivedi, Rohit Sridhar, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Predicting Information Pathways Across Online Communities.

Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs.

Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Representation Learning in Continuous-Time Dynamic Signed Networks.

Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Task and Model Agnostic Adversarial Attack on Graph Neural Networks.

Kartik Sharma, Samidha Verma, Sourav Medya, Arnab Bhattacharya, Sayan Ranu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Signed Link Representation in Continuous-Time Dynamic Signed Networks.

Mohit Raghavendra, Kartik Sharma, Anand Kumar M, Srijan Kumar

CoRR, 2022

A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction.

Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, Navneet Goyal

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Balance Maximization in Signed Networks via Edge Deletions.

Kartik Sharma, Iqra Altaf Gillani, Sourav Medya, Sayan Ranu, Amitabha Bagchi

Proceedings of the WSDM '21, 2021

Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication.

Kartik Sharma, Niyati Bafna, Samar Husain

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2019

When risks need attention: adoption of green supply chain initiatives in the pharmaceutical industry.

Anil Kumar, Edmundas Kazimieras Zavadskas, Sachin Kumar Mangla, Varun Agrawal, Kartik Sharma, Divyanshu Gupta

Int. J. Prod. Res., 2019

Hiding Data in Images Using Cryptography and Deep Neural Network.

Kartik Sharma, Ashutosh Aggarwal, Tanay Singhania, Deepak Gupta, Ashish Khanna

CoRR, 2019

2017

Modelling of autonomic regulation in cardiovascular system based on baroreflex mechanism and overwhelming controller.

Kartik Sharma, Tarun Kumar Bera

J. Syst. Control. Eng., 2017

2012

Design and development of an effective ball catching robotic arm with 3DOF.

Kartik Sharma, Gianetan Singh Sekhon

Proceedings of the Second International Conference on Computational Science, 2012