LabCompass

Geetanjali Bihani

Computer Science · Purdue University West Lafayette

Early career · publishing since 2020

Publications

22

Citations

47

Est. group size

~1

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Geetanjali Bihani works in natural language processing (NLP), the branch of computer science focused on getting computers to understand and analyze human language. Their work examines when and why language models fail or behave unreliably, including studies of 'shortcut learning' (where models rely on superficial patterns rather than real understanding), model calibration (how well a model's confidence matches its actual accuracy), fairness in model behavior around attributes like occupation, and privacy-preserving methods for text data such as steganography (hiding information within text representations).

Reliability and calibration of language modelsShortcut learning and robustness in NLPPrivacy-preserving text representationsFuzzy logic methods for evaluating modelsBias and fairness in language model behavior

Publication output has been steady over the past five years, averaging about 3 papers per year with a consistent yearly presence since 2020.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.0/year recently
1718192020: 3 publications202021: 4 publications212022: 5 publications5222023: 3 publications232024: 3 publications242025: 4 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×11
  • Building and Environment×1
  • Lecture notes in networks and systems×1
  • Figshare×1
  • Proceedings of the AAAI Conference on Artificial Intelligence×1
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By research-topic overlap
  • Yue Qin

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  • Allen Riddell

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  • Damir Ćavar

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  • Elsayed Issa

    Computer Science · Purdue University West Lafayette

  • Fanyou Wu

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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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