Ramakrishna Bairi

15 papers A* 1A 1B 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
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`	MASAI: Modular Architecture for Software-engineering AI Agents. CoRR Daman Arora, Atharv Sonwane, Nalin Wadhwa, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
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
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`	User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi
2020	J	`jnl`	HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
2018	—	`—`	Adaptive Organization of Digital Documents using Knowledge Graphs. Ramakrishna Bairi
2015	—	`conf`	Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes
2014	—	`conf`	Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. SMIR@SIGIR Ramakrishna Bairi, Ganesh Ramakrishnan
2013	B	`conf`	Learning to Generate Diversified Query Interpretations using Biconvex Optimization. IJCNLP Ramakrishna Bairi, Ambha A, Ganesh Ramakrishnan
2013	—	`conf`	Rel-Div: Generating Diversified Query Interpretations from Semantic Relations. PReMI Ramakrishna Bairi, A. Ambha, Ganesh Ramakrishnan
2013	—	`conf`	SATTY : Word Sense Induction Application in Web Search Clustering. SemEval@NAACL-HLT Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi, Ganesh Ramakrishnan