Mohammad Javad Hosseini

Computer Science · Purdue University West Lafayette

Established · publishing since 1979

Natural Language Processing Techniques Topic Modeling Advanced Memory and Neural Computing Neuroscience and Neural Engineering Advanced Graph Neural Networks

Publications

Citations

1,614

Est. group size

Recurring co-author estimate

Active years

Publishing since 1979

Research summary

AI-generated

Mohammad Javad Hosseini works on natural language processing (NLP), the branch of computer science focused on getting computers to understand and reason about human language. His recent work centers on natural language inference (determining whether one statement logically follows from another), hallucination in large language models (cases where AI systems generate incorrect or unsupported statements), and methods for generating synthetic training data to make these systems more reliable across different domains.

Natural language inference and entailmentLarge language model reliability and hallucinationText segmentation and proposition extractionEntity and reference resolutionKnowledge graph and entailment graph construction

Publication output rose from a low base around 2018 to a peak of about 9 papers per year in 2022-2023, and has since tapered off somewhat through 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 6.4/year recently

Recent publications

Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.
PubMed · 2025
Entailed Between the Lines: Incorporating Implication into NLI
2025
Entailed Between the Lines: Incorporating Implication into NLI
arXiv (Cornell University) · 2025
Scalable and Domain-General Abstractive Proposition Segmentation
2024
Scalable and Domain-General Abstractive Proposition Segmentation
arXiv (Cornell University) · 2024
A synthetic data approach for domain generalization of NLI models
arXiv (Cornell University) · 2024
A synthetic data approach for domain generalization of NLI models
2024
A social-environmental impact perspective of generative artificial intelligence
Environmental Science and Ecotechnology · 2024
Complementary Roles of Inference and Language Models in QA
2023
Resolving Indirect Referring Expressions for Entity Selection
2023
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
arXiv (Cornell University) · 2023
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
2023
Sources of Hallucination by Large Language Models on Inference Tasks
arXiv (Cornell University) · 2023
Sources of Hallucination by Large Language Models on Inference Tasks
2023
Resolving Indirect Referring Expressions for Entity Selection
arXiv (Cornell University) · 2022

Publishes in

arXiv (Cornell University)×12
npj Flexible Electronics×2
Advanced Electronic Materials×2
Micromachines×1
Journal of Physics D Applied Physics×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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