Nested Propositions in Open Information Extraction. - Nikita Bhutani; H. V. Jagadish; Dragomir R. Radev (EMNLP, 2016)

Exploiting Structure in Representation of Named Entities using Active Learning. - Nikita Bhutani; Kun Qian 002; Yunyao Li 001; H. V. Jagadish; Mauricio A. Hernández; Mitesh Vasa (COLING, 2018)

LUSTRE: An Interactive System for Entity Structured Representation and Variant Generation. - Kun Qian 002; Nikita Bhutani; Yunyao Li 001; H. V. Jagadish; Mauricio A. Hernández (ICDE, 2018)

Online Schemaless Querying of Heterogeneous Open Knowledge Bases. - Nikita Bhutani; H. V. Jagadish (CIKM, 2019)

Learning to Answer Complex Questions over Knowledge Bases with Query Composition. - Nikita Bhutani; Xinyi Zheng; H. V. Jagadish (CIKM, 2019)

Open Information Extraction from Question-Answer Pairs. - Nikita Bhutani; Yoshihiko Suhara; Wang-Chiew Tan; Alon Y. Halevy; H. V. Jagadish (NAACL-HLT (1), 2019)

Answering Complex Questions Using Curated and Extracted Knowledge Bases. - Nikita Bhutani (2019)

Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications. - Nikita Bhutani; Aaron Traylor; Chen Chen 111; Xiaolan Wang 001; Behzad Golshan; Wang-Chiew Tan (AKBC, 2020)

SubjQA: A Dataset for Subjectivity and Review Comprehension. - Johannes Bjerva; Nikita Bhutani; Behzad Golshan; Wang-Chiew Tan; Isabelle Augenstein (EMNLP (1), 2020)

Powering Effective Climate Communication with a Climate Knowledge Base. - Kameron B. Rodrigues; Shweta Khushu; Mukut Mukherjee; Andrew Banister; Anthony Hevia; Sampath Duddu; Nikita Bhutani (CoRR, 2021)

Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? - Sagnik Ray Choudhury; Nikita Bhutani; Isabelle Augenstein (CoRR, 2021)

Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? - Sagnik Ray Choudhury; Nikita Bhutani; Isabelle Augenstein (COLING, 2022)

CompactIE: Compact Facts in Open Information Extraction. - Farima Fatahi Bayat; Nikita Bhutani; H. V. Jagadish (NAACL-HLT, 2022)

Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. - Yutong Shao; Nikita Bhutani; Sajjadur Rahman; Estevam Hruschka (NAACL-HLT (Findings), 2022)

Zero-shot Triplet Extraction by Template Infilling. - Bosung Kim; Hayate Iso; Nikita Bhutani; Estevam Hruschka; Ndapa Nakashole (CoRR, 2022)

Zero-shot Triplet Extraction by Template Infilling. - Bosung Kim; Hayate Iso; Nikita Bhutani; Estevam Hruschka; Ndapa Nakashole; Tom M. Mitchell (IJCNLP (1), 2023)

Rethinking Language Models as Symbolic Knowledge Graphs. - Vishwas Mruthyunjaya; Pouya Pezeshkpour; Estevam Hruschka; Nikita Bhutani (CoRR, 2023)

Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks. - Pouya Pezeshkpour; Hayate Iso; Thom Lake; Nikita Bhutani; Estevam Hruschka (CoRR, 2023)

XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates. - Haopeng Zhang 005; Hayate Iso; Sairam Gurajada; Nikita Bhutani (LREC/COLING, 2024)

Less is More for Long Document Summary Evaluation by LLMs. - Yunshu Wu; Hayate Iso; Pouya Pezeshkpour; Nikita Bhutani; Estevam Hruschka (EACL (2), 2024)

Fairness-Aware Data Preparation for Entity Matching. - Nima Shahbazi; Jin Wang 007; Zhengjie Miao; Nikita Bhutani (ICDE, 2024)

Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models. - Seiji Maekawa; Hayate Iso; Sairam Gurajada; Nikita Bhutani (NAACL-HLT, 2024)

Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. - Pouya Pezeshkpour; Eser Kandogan; Nikita Bhutani; Sajjadur Rahman; Tom M. Mitchell; Estevam Hruschka (CoRR, 2024)

A Blueprint Architecture of Compound AI Systems for Enterprise. - Eser Kandogan; Sajjadur Rahman; Nikita Bhutani; Dan Zhang 025; Rafael Li Chen; Kushan Mitra; Sairam Gurajada; Pouya Pezeshkpour; Hayate Iso; Yanlin Feng; Hannah Kim 001; Chen Shen 009; et al. (CoRR, 2024)

From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization. - Catarina G. Belém; Pouya Pezeskhpour; Hayate Iso; Seiji Maekawa; Nikita Bhutani; Estevam Hruschka (CoRR, 2024)

Snippet-based Conversational Recommender System. - Haibo Sun; Naoki Otani; Hannah Kim 001; Dan Zhang 025; Nikita Bhutani (CoRR, 2024)

Retrieval Augmented Generation in the Wild: A System 2 Perspective. - Sajjadur Rahman; Dan Zhang 025; Nikita Bhutani; Estevam Hruschka; Eser Kandogan (IEEE Data Eng. Bull., 2024)

Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI. - Eser Kandogan; Nikita Bhutani; Dan Zhang 025; Rafael Li Chen; Sairam Gurajada; Estevam Hruschka (ICDEW, 2025)

Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data. - Seiji Maekawa; Hayate Iso; Nikita Bhutani (ICLR, 2025)

From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization. - Catarina G. Belém; Pouya Pezeshkpour; Hayate Iso; Seiji Maekawa; Nikita Bhutani; Estevam Hruschka (NAACL (Findings), 2025)

Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education. - Hayate Iso; Pouya Pezeshkpour; Nikita Bhutani; Estevam Hruschka (NAACL (Industry Track), 2025)

Natural Language Processing for Human Resources: A Survey. - Naoki Otani; Nikita Bhutani; Estevam Hruschka (NAACL (Industry Track), 2025)

Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k. - Chihiro Taguchi; Seiji Maekawa; Nikita Bhutani (CoRR, 2025)