Arun Iyer - RankMe

27 papers A* 5A 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chow-Liu Ordering for Long-Context Reasoning in Chain-of-Agents. CoRR Naman Gupta, Vaibhav Singh, Arun Iyer, Kirankumar Shiragur, Pratham Grover, Ramakrishna B. Bairi, Ritabrata Maiti, Sankarshan Damle, Shachee Mishra Gupta, Rishikesh Maurya, Vageesh D. C.
2026	J	`jnl`	Resolving Interference (RI): Disentangling Models for Improved Model Merging. CoRR Pratik Ramesh, George Stoica, Arun Iyer, Leshem Choshen, Judy Hoffman
2025	J	`jnl`	COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context. CoRR Naman Gupta, Shreeyash Gowaikar, Arun Iyer, Kirankumar Shiragur, Ramakrishna B. Bairi, Rishikesh Maurya, Ritabrata Maiti, Sankarshan Damle, Shachee Mishra Gupta
2025	J	`jnl`	Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents. CoRR Divyanshu Saxena, Rishikesh Maurya, Xiaoxuan Ou, Gagan Somashekar, Shachee Mishra Gupta, Arun Iyer, Yu Kang, Chetan Bansal, Aditya Akella, Saravan Rajmohan
2025	—	`conf`	STACKFEED: Structured Textual Actor-Critic Knowledge base editing with FEEDback. EMNLP (Industry Track) Shashank Kirtania, Naman Gupta, Priyanshu Gupta, Sumit Gulwani, Arun Iyer, Suresh Parthasarathy Iyengar, Arjun Radhakrishna, Sriram K. Rajamani, Gustavo Soares
2024	J	`jnl`	Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. CoRR Ajinkya Pankaj Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
2024	J	`jnl`	CodePlan: Repository-Level Coding using LLMs and Planning. Proc. ACM Softw. Eng. Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet
2024	J	`jnl`	STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack. CoRR Naman Gupta, Shashank Kirtania, Priyanshu Gupta, Krishna K. Mehra, Sumit Gulwani, Arun Iyer, Suresh Parthasarathy, Arjun Radhakrishna, Sriram K. Rajamani, Gustavo Soares
2024	—	`conf`	Sensing Timing Margin Contingencies in the Programmable Fabric of FPGAs. ICFPT Arun Iyer, Nishant Pawar, Dinesh Gaitonde, Nanditha Rao
2023	J	`jnl`	CodePlan: Repository-level Coding using LLMs and Planning. CoRR Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet
2023	A*	`conf`	FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. NeurIPS Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi
2023	J	`jnl`	FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. CoRR Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
2023	A*	`conf`	Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph. EMNLP Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal
2022	—	`conf`	A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks. ECML/PKDD (2) Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2022	A*	`conf`	Jigsaw: Large Language Models meet Program Synthesis. ICSE Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
2022	J	`jnl`	Landmarks and Regions: A Robust Approach to Data Extraction. CoRR Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram K. Rajamani, Mohammad Raza
2022	A*	`conf`	Landmarks and regions: a robust approach to data extraction. PLDI Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram K. Rajamani, Mohammad Raza
2021	J	`jnl`	A Piece-wise Polynomial Filtering Approach for Graph Neural Networks. CoRR Vijay Lingam, Chanakya Ekbote, Manan Sharma, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks. CoRR Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks. CoRR Vijay Lingam, Arun Iyer, Rahul Ragesh
2021	A	`conf`	HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. WSDM Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
2021	J	`jnl`	Jigsaw: Large Language Models meet Program Synthesis. CoRR Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
2021	J	`jnl`	Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs. CoRR Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
2021	J	`jnl`	User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi
2020	J	`jnl`	A Graph Convolutional Network Composition Framework for Semi-supervised Classification. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer
2020	J	`jnl`	HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
2019	A*	`conf`	Synthesis and machine learning for heterogeneous extraction. PLDI Arun Iyer, Manohar Jonnalagedda, Suresh Parthasarathy, Arjun Radhakrishna, Sriram K. Rajamani