Bio
I am a postdoctoral researcher at the Health NLP Lab headed by Carsten Eickhoff in the University of Tübingen. My research is supported by the AI & Data Science Fellowship Program at the university. My interest lies in building systems that can extract, organize and reason with information systems while maintaining transparency and accountability to the end user. I am particularly excited about what this means for AI in critical domains. I obtained my PhD from Max Planck Institute for Informatics and Saarland University, under the supervision of Simon Razniewski and Gerhard Weikum.
Recent News
- Aug 2026 Demo paper accepted at CIKM 2026.
- Oct 2025 Our papers on clinical trial matching, a survey and an investigation into RAG-based methods, have been accepted to IJCNLP-AACL 2025 and ML4H 2025, respectively.
- Aug 2025: Our GPTKB demo paper is accepted to ISWC 2025 and AAAI 2026. Demo
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May 2025: Our GPTKB paper on extensive materialization of LLM factual knowledge is accepted to ACL 2025.
- May 2025: Attended the first Knowledge-Aware AI (KAAI) Workshop at TU Dresden hosted by Prof. Dr. Simon Razniewski.
- Oct 2024: Excited to start as a postdoc at the Health NLP Lab in University of Tübingen.
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Sep 2024: Successfully defended my PhD thesis!!
Count Information: Retrieving and Estimating Cardinality of Entity Sets from the Web -
Feb 2024: Short paper CardiO accepted at The Web Conference 2024.
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Jan 2024: Attending Google Research Week 2024 in Bangalore.
Guest lecture at IIT Kharagpur. -
Dec 2023: Survey paper accepted at ACM Computing Surveys.
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Nov 2023: Challenge paper accepted to LM-KBC challenge @ ISWC 2023.
- Apr 2023: I will be joining the Knowledge Graphs group at Huawei R&D, Edinburgh for a three months internship.
- Jun 2023: IR Seminar at University of Glasgow Slides
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Mar 2023: Short paper on class cardinality comparison accepted at The Web Conference 2023.
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Nov 2022: Journal paper accepted at JoWS 2023.
Pre-proof|
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Nov 2022: Demo paper accepted at WSDM 2023.
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Apr 2022: Short paper accepted at SIGIR 2022.
- Apr 2022: Tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases coming up on 26th April, 2022 at WWW. Tutorial Schedule | Tutorial Website
- Dec 2021: Our tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases accepted at WWW 2022.
- Nov 2021: Tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases coming up on 4th November, 2021 at KR. Tutorial Schedule | Tutorial Website.
- Oct 2021: Tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases coming up on 25th October, 2021 at ISWC. Tutorial Schedule | Tutorial Website.
- Sept 2021: This year we will be organizing the Mental Health Awareness Week 2021 local events at MPI-Inf from 04.10.2021 to 08.10.2021 as a part of the PhDNet initiative to #BreakTheStigma around mental health. Do Join!
- July 2021: I will be joining the DIG team at Télécom Paris University in August for a three months internship.
- June 2021: Tutorial on KB completeness and negation accepted at VLDB, KR and ISWC. Tutorial Website
- May 2021: Elected External PhD Representative of MPI for Informatics. PhDNet reps list
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2019: Demo accepted at ESWC 2020. | demo
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2019: Paper appearing in the Journal of Web Semantics 2020. JWS |
Publications
2020 till now
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Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Moritz Müller, Simon Razniewski
GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge
AAAI 2026 | ISWC 2025 (best demo award) | Demo |
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Daniel León, Shrestha Ghosh, Carsten Eickhoff
Investigating RAG-based Approaches in Clinical Trial and Patient Matching
ML4H 2025 |
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Shrestha Ghosh, Moritz Schneider, Carina Reinecke, Carsten Eickhoff
A Survey on LLM-Assisted Clinical Trial Recruitment
IJCNLP-AACL 2025 |
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Shrestha Ghosh, Luca Giordano, Yujia Hu, Tuan-Phong Nguyen, Simon Razniewski
Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
arXiv 2025 |
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Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Simon Razniewski:
Enabling LLM Knowledge Analysis via Extensive Materialization
ACL 2025 |
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Shrestha Ghosh, Simon Razniewski, Damien Graux, Gerhard Weikum:
CardiO: Prediction Cardinality from Online Sources
WWW Companion 2024 |
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Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian Suchanek:
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey
ACM Computing Surveys 2024 |
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Shrestha Ghosh: Limits of Zero-shot Probing on Object Prediction
LM-KBC Challenge @ ISWC 2023 |
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Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Class Cardinality Comparison as a Fermi Problem.
WWW Companion 2023 |
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Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Answering Count Questions with Structured Answers from Text.
JoWS 2023 |
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Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
CoQEx: Entity Counts Explained.
WSDM 2023 |
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Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Answering Count Queries with Explanation.
SIGIR 2022
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Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek:
Tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases
VLDB'21, KR'21, ISWC'21, WWW'22 -
Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
CounQER: A System for Discovering and Linking Count Information in Knowledge Bases.
ESWC 2020 |
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Shrestha Ghosh, Simon Razniewski, Gerhard Weikum:
Uncovering Hidden Semantics of Set Information in Knowledge Bases.
JWS 2020 |
until 2019
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Arun Ramamurthy, Vanlin Sathya, Shrestha Ghosh, A. Antony Franklin, Bheemarjuna Reddy Tamma:
Dynamic Power Control and Scheduling in Full Duplex Cellular Network with D2D.
WPC 2019 |
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Shrestha Ghosh, Vanlin Sathya, Arun Ramamurthy, B. Akilesh, Bheemarjuna Reddy Tamma:
A Novel Resource Allocation and Power Control Mechanism for Hybrid Access Femtocells.
ComCom 2017 |
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Arpan Sen, Shrestha Ghosh, Debottam Kundu, Debleena Sarkar, Jaya Sil:
Study of Engineered Features and Learning Features in Machine Learning - A Case Study in Document Classification.
IHCI 2016
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Arpan Sen, Shrestha Ghosh, Arinjoy Basak, Harsh Parsuram Puria, Sushmita Ruj:
Achieving Data Survivability and Confidentiality in Unattended Wireless Sensor Networks.
AINA 2015
Teaching
- Summer 2026: Seminar on LLM-based Cohort Discovery for Clinical Trials.
- Winter 2025-26: Seminar on LLM-based Cohort Discovery for Clinical Trials.
- Winter 2024-25: Substitute for Python Programming.
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Summer 2022: TA for Automated Knowledge Base Construction
Course Website -
Winter 2019-20: TA for Information Retrieval and Data Mining
Core course for Masters. Course Website
Invited Talks, Seminars and Tutorials
- Feb 2026 Invited seminar at IIT Kharagpur, Department of Artificial Intelligence.
- Feb 2026 Invited seminar at IIT Hyderabad, Department of Computer Science and Engineering.
- Feb 2026 Invited seminar at IIT Palakkad, Department of Data Science.
- Feb 2026 Invited seminar at IIT Kharagpur, Department of Computer Science and Engineering.
- Dec 2025 Invited talk (online) at National Center for Tumor Diseases (NCT) Südwest, University Hospital Tübingen.
- May 2025 Invited talk at the 1st Knowledge-Aware AI (KAAI) Workshop TU Dresden.
- Sep 2024 PhD defense at Max Planck Institute for Informatics. Slides
- Jun 2024 Invited talk at University of Stuttgart.
- Jan 2024 Guest lecture at IIT Kharagpur.
- 2023 IR Seminar at University of Glasgow Slides
- WWW 2022 Tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases
- 2021 Tutorial on Completeness, Recall and Negation in Open-World Knowledge Bases: VLDB, ISWC, KR.
- 2021 DIG Seminar at Telecom Paris Slides
- ISWC 2020 Doctoral Consortium Slides| Video
- ESWC 2020 Demo Poster| Video| Demo
- 2019 Masters thesis seminar Slides
Reviewing
- 2026: ECIR, WWW, SIGIR, ARR, CIKM, MLHC, Workshops (AKBC, UncertaiNLP)
- 2025: SIGIR, ISWC, Workshops (LM-KBC, PromptEng)
- 2024: ISWC, CIKM, Workshops (LM-KBC, PromptEng)
- 2023: ESWC, ISWC, CIKM
- 2022: ISWC, CIKM, COMSYS
- 2021: ISWC, CIKM, Wikidata Workshop
- 2020: ISWC, CIKM, WSDM