| 2026 | ACL | Current Advances in LLM Reasoning. | Akhil Arora, Vishrav Chaudhary, Julia Kreutzer, Nearchos Potamitis, Nouha Dziri, Niket Tandon |
| 2026 | SIGMOD | Ninth Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). | Akhil Arora, Stefania Dumbrava |
| 2025 | EMNLP | Women, Infamous, and Exotic Beings: A Comparative Study of Honorific Usages in Wikipedia and LLMs for Bengali and Hindi. | Sourabrata Mukherjee, Atharva Mehta, Sougata Saha, Akhil Arora, Monojit Choudhury |
| 2025 | EMNLP | Cache Saver: A Modular Framework for Efficient, Affordable, and Reproducible LLM Inference. | Nearchos Potamitis, Lars Henning Klein, Bardia Mohammadi, Chongyang Xu, Attreyee Mukherjee, Niket Tandon, Laurent Bindschaedler, Akhil Arora |
| 2025 | ICML | Fleet of Agents: Coordinated Problem Solving with Large Language Models. | Lars Henning Klein, Nearchos Potamitis, Roland C. Aydin, Robert West, Caglar Gulcehre, Akhil Arora |
| 2025 | SIGMOD | Eighth Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). | Akhil Arora, Stefania Dumbrava |
| 2024 | EMNLP | Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia. | Toms Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West |
| 2024 | ICWSM | Orphan Articles: The Dark Matter of Wikipedia. | Akhil Arora, Robert West, Martin Gerlach |
| 2022 | LREC | Efficient Entity Candidate Generation for Low-Resource Languages. | Alberto Garca-Durn, Akhil Arora, Robert West |
| 2022 | NAACL | Strong Heuristics for Named Entity Linking. | Marko Culjak, Andreas Spitz, Robert West, Akhil Arora |
| 2022 | SIGIR | Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus. | Vuk Vukovic, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, Robert West |
| 2022 | WSDM | Wikipedia Reader Navigation: When Synthetic Data Is Enough. | Akhil Arora, Martin Gerlach, Tiziano Piccardi, Alberto Garca-Durn, Robert West |
| 2021 | EMNLP | Low-Rank Subspaces for Unsupervised Entity Linking. | Akhil Arora, Alberto Garca-Durn, Robert West |
| 2019 | EDBT | Influence Maximization Revisited: The State of the Art and the Gaps that Remain. | Akhil Arora, Sainyam Galhotra, Sayan Ranu |
| 2019 | WWW | RAQ: Relationship-Aware Graph Querying in Large Networks. | Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya |
| 2019 | SIGMOD | GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics. | Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher |
| 2017 | SIGMOD | Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study. | Akhil Arora, Sainyam Galhotra, Sayan Ranu |
| 2016 | SIGMOD | Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models. | Sainyam Galhotra, Akhil Arora, Shourya Roy |
| 2015 | WWW | ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model. | Sainyam Galhotra, Akhil Arora, Srinivas Virinchi, Shourya Roy |
| 2014 | SIGMOD | Mining statistically significant connected subgraphs in vertex labeled graphs. | Akhil Arora, Mayank Sachan, Arnab Bhattacharya |
| 2013 | EDBT | Efficient edit distance based string similarity search using deletion neighborhoods. | Shashwat Mishra, Tejas Gandhi, Akhil Arora, Arnab Bhattacharya |