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Dr Usashi Chatterjee
(hi/ei)
Timau a rolau for Usashi Chatterjee
Uwch Ddarlithydd (Athro Cyswllt)
Trosolwg
Rwy'n Uwch Ddarlithydd mewn Cyfrifiadureg a Gwybodeg ym Mhrifysgol Caerdydd, y DU. Ar hyn o bryd, rwy'n rhan o Grŵp NLP Caerdydd . Yn y gorffennol, rwyf hefyd wedi bod yn gyfranogwr gweithgar mewn prosiectau eraill gyda'r Grŵp KnowDive, Prifysgol Trento.
Mae fy mhrif feysydd ymchwil yn CommonSensense Reasoning, Natural Language Processing a Semantic WEb. Ar hyn o bryd, mae fy ngwaith ymchwil yn canolbwyntio ar ddatblygu strategaethau ar gyfer defnyddio modelau iaith mawr (LLMs) yn benodol ac ymhlyg ar gyfer ymgorffori cysyniadau lluosog.
Rwyf hefyd yn Gydlynydd Rhaglen ar gyfer MSc Software Engineering Programme.
Cyhoeddiad
2025
- Kumar, N. , Chatterjee, U. and Schockaert, S. 2025. Extracting conceptual spaces from LLMs using prototype embeddings. Presented at: Findings of EMNLP Suzhou, China 4-9 November 2025. Published in: Christodoulopoulos, C. et al., Findings of the Association for Computational Linguistics: EMNLP 2025. Suzhou, China: Association for Computational Linguistics. , pp.9275-9298. (10.18653/v1/2025.findings-emnlp.493)
2024
- Kteich, H. et al., 2024. Modelling commonsense commonalities with multi-facet concept embeddings. Presented at: The 62nd Annual Meeting of the Association for Computational Linguistics Bangkok, Thailand 11-16 August 2024. Published in: Ku, L. , Martins, A. and Srikumar, V. eds. Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics. , pp.1467-1480. (10.18653/v1/2024.findings-acl.86)
- Kumar, N. , Chatterjee, U. and Schockaert, S. 2024. Ranking entities along conceptual space dimensions with LLMs: An analysis of fine-tuning strategies. Presented at: The 62nd Annual Meeting of the Association for Computational Linguistics Bangkok, Thailand 11-16 August 2024. Published in: Ku, L. , Martins, A. and Srikumar, V. eds. Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics. , pp.7974-7989. (10.18653/v1/2024.findings-acl.474)
2023
- Chatterjee, U. and Schockaert, S. 2023. Probing the conceptual space of ChatGPT and GPT-4. Presented at: 9th Workshop on Artificial Intelligence and Cognition Bremen 14-15 September 2023. CEUR Workshop Proceedings.
- Chatterjee, U. , Gajbhiye, A. and Schockaert, S. 2023. Cabbage sweeter than cake? Analysing the potential of large language models for learning conceptual spaces. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11836–11842. (10.18653/v1/2023.emnlp-main.725)
- Gajbhiye, A. et al. 2023. What do deck chairs and sun hats have in common? Uncovering shared properties in large concept vocabularies. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.10587–10596. (10.18653/v1/2023.emnlp-main.654)
2021
- Chatterjee, U. 2021. Context-based understanding of food-related queries using a culinary knowledge model. Journal of Information Science 49 (3), pp.831-852. (10.1177/01655515211022163)
2020
- Loizides, F. et al. 2020. Human computer interaction and emerging technologies. Cardiff: Cardiff University Press. (10.18573/book3)
Articles
- Chatterjee, U. 2021. Context-based understanding of food-related queries using a culinary knowledge model. Journal of Information Science 49 (3), pp.831-852. (10.1177/01655515211022163)
Books
- Loizides, F. et al. 2020. Human computer interaction and emerging technologies. Cardiff: Cardiff University Press. (10.18573/book3)
Conferences
- Kumar, N. , Chatterjee, U. and Schockaert, S. 2025. Extracting conceptual spaces from LLMs using prototype embeddings. Presented at: Findings of EMNLP Suzhou, China 4-9 November 2025. Published in: Christodoulopoulos, C. et al., Findings of the Association for Computational Linguistics: EMNLP 2025. Suzhou, China: Association for Computational Linguistics. , pp.9275-9298. (10.18653/v1/2025.findings-emnlp.493)
- Kteich, H. et al., 2024. Modelling commonsense commonalities with multi-facet concept embeddings. Presented at: The 62nd Annual Meeting of the Association for Computational Linguistics Bangkok, Thailand 11-16 August 2024. Published in: Ku, L. , Martins, A. and Srikumar, V. eds. Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics. , pp.1467-1480. (10.18653/v1/2024.findings-acl.86)
- Kumar, N. , Chatterjee, U. and Schockaert, S. 2024. Ranking entities along conceptual space dimensions with LLMs: An analysis of fine-tuning strategies. Presented at: The 62nd Annual Meeting of the Association for Computational Linguistics Bangkok, Thailand 11-16 August 2024. Published in: Ku, L. , Martins, A. and Srikumar, V. eds. Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics. , pp.7974-7989. (10.18653/v1/2024.findings-acl.474)
- Chatterjee, U. and Schockaert, S. 2023. Probing the conceptual space of ChatGPT and GPT-4. Presented at: 9th Workshop on Artificial Intelligence and Cognition Bremen 14-15 September 2023. CEUR Workshop Proceedings.
- Chatterjee, U. , Gajbhiye, A. and Schockaert, S. 2023. Cabbage sweeter than cake? Analysing the potential of large language models for learning conceptual spaces. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.11836–11842. (10.18653/v1/2023.emnlp-main.725)
- Gajbhiye, A. et al. 2023. What do deck chairs and sun hats have in common? Uncovering shared properties in large concept vocabularies. Presented at: Conference on Empirical Methods in Natural Language Processing, EMNLP Singapore 6-10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. , pp.10587–10596. (10.18653/v1/2023.emnlp-main.654)
Ymchwil
Mae fy niddordeb ymchwil yn ymwneud â chynrychioli ac ailddefnyddio gwybodaeth. Mae angen cynrychiolaeth systematig a gwyddonol ar wybodaeth ar gyfer trefnu, dehongli ac ailddefnyddio effeithlon.
Ar hyn o bryd, rydw i'n gweithio ar dri phrosiect ymchwil gwahanol.
- Archwiliwch Fodelau Iaith Mawr (LLM) fel ChatGPT a GPT-4 i gael gwybodaeth echdynnu.
- Dysgwch gynrychioliadau cysyniad, ymchwilio i wreiddiadau cysyniad lluosog ar gyfer gosod dosbarthiad aml-label.
- Adeiladu ontoleg fyd-eang gynhwysfawr a hawdd ei chyrchu byd-eang am fwyd ac amaethyddiaeth.
Addysgu
Rwy'n arweinydd modiwl ar gyfer y modiwlau canlynol:
- CMT313 Peirianneg Meddalwedd, sy'n fodiwl semester deuol a addysgir yn rhaglen MSc Cyfrifiadura.
- Systemau Cronfa Ddata CM6125 / CM6625, sy'n fodiwl semester gwanwyn a addysgir ym mlwyddyn 1af y rhaglen Peirianneg Meddalwedd Gymhwysol.
Rwyf hefyd yn Diwtor Blwyddyn ar gyfer Peirianneg Meddalwedd Gymhwysol 2il Flwyddyn (ASE).
Bywgraffiad
- Uwch Ddarlithydd, Prifysgol Caerdydd
- Darlithydd, Prifysgol Caerdydd
- Academydd Gwadd, Prifysgol Caerdydd
- Cymrawd Ymchwil Gwadd, Prifysgol Trento
Anrhydeddau a dyfarniadau
Cymrodoriaeth, Academi Addysg Uwch (2022)
Prawf Cymhwyster Cenedlaethol ar gyfer Darlithyddiaeth (2013)
Contact Details
[email protected]
+44 29225 14922
Abacws, Ystafell Ystafell 2.58, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
+44 29225 14922
Abacws, Ystafell Ystafell 2.58, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG