Learning to Generate Diversified Query Interpretations using Biconvex Optimization. - Ramakrishna Bairi; Ambha A; Ganesh Ramakrishnan (IJCNLP, 2013)

Rel-Div: Generating Diversified Query Interpretations from Semantic Relations. - Ramakrishna Bairi; A. Ambha; Ganesh Ramakrishnan (PReMI, 2013)

SATTY : Word Sense Induction Application in Web Search Clustering. - Satyabrata Behera; Upasana Gaikwad; Ramakrishna Bairi; Ganesh Ramakrishnan (SemEval@NAACL-HLT, 2013)

Personalized classifiers: evolving a classifier from a large reference knowledge graph. - Ramakrishna B. Bairi; Ganesh Ramakrishnan; Vikas Sindhwani (IDEAS, 2014)

Labeling Documents in Search Collection: Evolving Classifiers on a Semantically Relevant Label Space. - Ramakrishna Bairi; Ganesh Ramakrishnan (SMIR@SIGIR, 2014)

Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. - Ramakrishna Bairi; Rishabh K. Iyer; Ganesh Ramakrishnan; Jeff A. Bilmes (ACL (1), 2015)

Categorising videos using a personalised category catalogue. - Ramakrishna B. Bairi; Ankit Vani; Pooja Ahuja; Ganesh Ramakrishnan (CODS, 2015)

Beyond Clustering: Sub-DAG Discovery for Categorising Documents. - Ramakrishna B. Bairi; Mark James Carman; Ganesh Ramakrishnan (CIKM, 2016)

A Framework for Task-specific Short Document Expansion. - Ramakrishna B. Bairi; Raghavendra Udupa; Ganesh Ramakrishnan (CIKM, 2016)

Adaptive Organization of Digital Documents using Knowledge Graphs. - Ramakrishna Bairi (2018)

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification. - Rahul Ragesh; Sundararajan Sellamanickam; Arun Iyer; Ramakrishna Bairi; Vijay Lingam (WSDM, 2021)

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation. - Rahul Ragesh; Sundararajan Sellamanickam; Vijay Lingam; Arun Iyer; Ramakrishna Bairi (CoRR, 2021)

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. - Chanakya Ekbote; Ajinkya Pankaj Deshpande; Arun Iyer; Sundararajan Sellamanickam; Ramakrishna Bairi (NeurIPS, 2023)

Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository. - Ajinkya Pankaj Deshpande; Anmol Agarwal; Shashank Shet; Arun Iyer; Aditya Kanade 001; Ramakrishna Bairi; Suresh Parthasarathy (CoRR, 2024)

MASAI: Modular Architecture for Software-engineering AI Agents. - Daman Arora; Atharv Sonwane; Nalin Wadhwa; Abhav Mehrotra; Saiteja Utpala; Ramakrishna Bairi; Aditya Kanade 001; Nagarajan Natarajan (CoRR, 2024)

CodePlan: Repository-Level Coding using LLMs and Planning. - Ramakrishna Bairi; Atharv Sonwane; Aditya Kanade 001; Vageesh D. C.; Arun Iyer; Suresh Parthasarathy; Sriram K. Rajamani; Balasubramanyan Ashok; Shashank Shet (Proc. ACM Softw. Eng., 2024)

Code Researcher: Deep Research Agent for Large Systems Code and Commit History. - Ramneet Singh; Sathvik Joel; Abhav Mehrotra; Nalin Wadhwa; Ramakrishna B. Bairi; Aditya Kanade 001; Nagarajan Natarajan (CoRR, 2025)