Chaitanya Devaguptapu

26 papers A* 2A 2Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EnterpriseLab: A Full-Stack Platform for developing and deploying agents in Enterprises. CoRR Ankush Agarwal, Harsh Vishwakarma, Suraj Nagaje, Chaitanya Devaguptapu
2025	—	`conf`	Adaptive LLM Routing under Budget Constraints. EMNLP (Findings) Pranoy Panda, Raghav Magazine, Chaitanya Devaguptapu, Sho Takemori, Vishal Sharma
2025	J	`jnl`	Adaptive LLM Routing under Budget Constraints. CoRR Pranoy Panda, Raghav Magazine, Chaitanya Devaguptapu, Sho Takemori, Vishal Sharma
2025	A*	`conf`	Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. EMNLP Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran
2025	J	`jnl`	Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments. CoRR Harsh Vishwakarma, Ankush Agarwal, Ojas Patil, Chaitanya Devaguptapu, Mahesh Chandran
2025	—	`conf`	Evaluating Compound AI Systems through Behaviors, Not Benchmarks. EMNLP (Findings) Pranav Bhagat, K. N. Ajay Shastry, Pranoy Panda, Chaitanya Devaguptapu
2025	—	`conf`	Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? ACL (1) Parth Thakkar, Ankush Agarwal, Prasad Kasu, Pulkit Bansal, Chaitanya Devaguptapu
2025	J	`jnl`	Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? CoRR Parth Thakkar, Ankush Agarwal, Prasad Kasu, Pulkit Bansal, Chaitanya Devaguptapu
2025	—	`conf`	Hybrid Graphs for Table-and-Text based Question Answering using LLMs. NAACL (Long Papers) Ankush Agarwal, Chaitanya Devaguptapu, Ganesh S
2025	J	`jnl`	Hybrid Graphs for Table-and-Text based Question Answering using LLMs. CoRR Ankush Agarwal, Ganesh S, Chaitanya Devaguptapu
2025	A	`conf`	Towards a Training Free Approach for 3D Scene Editing. WACV Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul
2024	—	`conf`	HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. ACL (1) Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh
2024	J	`jnl`	HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, A. P. Prathosh
2024	J	`jnl`	Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. CoRR Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian, Moyuru Yamada, Manohar Kaul
2024	A	`conf`	Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. WACV Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, V. S. S. V. Prasad, Charu Sharma, Manohar Kaul
2024	J	`jnl`	Towards a Training Free Approach for 3D Scene Editing. CoRR Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu, Charu Sharma, Manohar Kaul
2023	J	`jnl`	Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. CoRR Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, VSSV Prasad, Charu Sharma, Manohar Kaul
2023	J	`jnl`	Δ-Networks for Efficient Model Patching. CoRR Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg
2022	A*	`conf`	Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). AAAI Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2022	J	`jnl`	Learning Modular Structures That Generalize Out-of-Distribution. CoRR Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian
2021	—	`conf`	On Adversarial Robustness: A Neural Architecture Search perspective. ICCVW Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian
2020	J	`jnl`	An Empirical Study on the Robustness of NAS based Architectures. CoRR Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N. Balasubramanian
2020	—	`conf`	On Initial Pools for Deep Active Learning. Preregister@NeurIPS Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2020	J	`jnl`	On Initial Pools for Deep Active Learning. CoRR Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
2019	—	`conf`	Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. CVPR Workshops Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian
2019	J	`jnl`	Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. CoRR Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian