| 2025 | EMNLP | Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k. | Chihiro Taguchi, Seiji Maekawa, Nikita Bhutani |
| 2025 | ICDE | Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI. | Eser Kandogan, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Sairam Gurajada, Estevam Hruschka |
| 2025 | ICLR | Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data. | Seiji Maekawa, Hayate Iso, Nikita Bhutani |
| 2025 | NAACL | From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization. | Catarina G. Belm, Pouya Pezeshkpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka |
| 2025 | NAACL | Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education. | Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka |
| 2025 | NAACL | Natural Language Processing for Human Resources: A Survey. | Naoki Otani, Nikita Bhutani, Estevam Hruschka |
| 2024 | COLING | XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates. | Haopeng Zhang, Hayate Iso, Sairam Gurajada, Nikita Bhutani |
| 2024 | EACL | Less is More for Long Document Summary Evaluation by LLMs. | Yunshu Wu, Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka |
| 2024 | ICDE | Fairness-Aware Data Preparation for Entity Matching. | Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani |
| 2024 | NAACL | Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models. | Seiji Maekawa, Hayate Iso, Sairam Gurajada, Nikita Bhutani |
| 2023 | IJCNLP | Zero-shot Triplet Extraction by Template Infilling. | Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell |
| 2022 | COLING | Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? | Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein |
| 2022 | NAACL | CompactIE: Compact Facts in Open Information Extraction. | Farima Fatahi Bayat, Nikita Bhutani, H. V. Jagadish |
| 2022 | NAACL | Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. | Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka |
| 2020 | EMNLP | SubjQA: A Dataset for Subjectivity and Review Comprehension. | Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein |
| 2019 | CIKM | Online Schemaless Querying of Heterogeneous Open Knowledge Bases. | Nikita Bhutani, H. V. Jagadish |
| 2019 | CIKM | Learning to Answer Complex Questions over Knowledge Bases with Query Composition. | Nikita Bhutani, Xinyi Zheng, H. V. Jagadish |
| 2019 | NAACL | Open Information Extraction from Question-Answer Pairs. | Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Y. Halevy, H. V. Jagadish |
| 2018 | COLING | Exploiting Structure in Representation of Named Entities using Active Learning. | Nikita Bhutani, Kun Qian, Yunyao Li, H. V. Jagadish, Mauricio A. Hernndez, Mitesh Vasa |
| 2018 | ICDE | LUSTRE: An Interactive System for Entity Structured Representation and Variant Generation. | Kun Qian, Nikita Bhutani, Yunyao Li, H. V. Jagadish, Mauricio A. Hernndez |
| 2016 | EMNLP | Nested Propositions in Open Information Extraction. | Nikita Bhutani, H. V. Jagadish, Dragomir R. Radev |