Adithya Samavedhi

11 papers C 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. CoRR Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu
2023	—	`conf`	SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023	J	`jnl`	SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang
2023	J	`jnl`	Supervised Contrastive Learning for Interpretable Long-Form Document Matching. ACM Trans. Knowl. Discov. Data Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy
2023	J	`jnl`	Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses. Inf. Syst. Frontiers Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak
2023	—	`conf`	Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. EACL (Findings) Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
2023	J	`jnl`	Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. CoRR Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy
2022	—	`conf`	Are Malware Detection Models Adversarial Robust Against Evasion Attack? INFOCOM Workshops Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak
2021	C	`conf`	Profiling Fake News: Learning the Semantics and Characterisation of Misinformation. ADMA Swati Agarwal, Adithya Samavedhi
2021	J	`jnl`	Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses. Digit. Investig. Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak
2021	J	`jnl`	Supervised Contrastive Learning for Interpretable Long Document Comparison. CoRR Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz