Ramakrishna Bairi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 9

Top Topics

Modular Architecture

Topic Hierarchies

Semantically Relevant

Top Venues

Publications

Ajinkya Pankaj Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy
Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. CoRR (2024)
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C., Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet
CodePlan: Repository-Level Coding using LLMs and Planning. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Daman Arora, Atharv Sonwane, Nalin Wadhwa, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
MASAI: Modular Architecture for Software-engineering AI Agents. CoRR (2024)
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. CoRR (2023)
Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. NeurIPS (2023)
Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Vageesh D. C, Arun Iyer, Suresh Parthasarathy, Sriram K. Rajamani, Balasubramanyan Ashok, Shashank Shet
CodePlan: Repository-level Coding using LLMs and Planning. CoRR (2023)
Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. CoRR (2021)
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. WSDM (2021)
Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. CoRR (2020)
Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) (2015)
Ramakrishna Bairi, Ganesh Ramakrishnan
Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. SMIR@SIGIR (2014)
Ramakrishna Bairi, A. Ambha, Ganesh Ramakrishnan
Rel-Div: Generating Diversified Query Interpretations from Semantic Relations. PReMI (2013)
Satyabrata Behera, Upasana Gaikwad, Ramakrishna Bairi, Ganesh Ramakrishnan
SATTY : Word Sense Induction Application in Web Search Clustering. SemEval@NAACL-HLT (2013)
Ramakrishna Bairi, Ambha A, Ganesh Ramakrishnan
Learning to Generate Diversified Query Interpretations using Biconvex Optimization. IJCNLP (2013)