I am a last year PhD student of the Legal Tech Group at the TU Munich. My supervisor is Matthias Grabmair. I am affiliated with the MaiNLP at LMU, and mentored by Barbara Plank. My research interest is Human-Centered AI , Computational Social Science and Computational Linguistics.

I am also an organizer of Munich🥨NLP, where I have organised get-together event to support and encourage women in NLP, and am committed to promoting diversity and inclusivity in the field.

08/2024: I presented our paper at ACL 2024 in 🇹🇭 Bangkok.
Invited talk ****human label variations and alignment in legal NLP at Machine Learning Scientists in Legal Tech Social Session at ICML2024 🇦🇹
07/2024: Invited talk ****human label variations and alignment in legal NLP at Machine Learning Scientists in Legal Tech Social Session at ICML2024 🇦🇹
05/2024: Paper accepted at ACL 2024. Looking forward to the trip to 🇹🇭 Bangkok!
12/2023: I presented our papers (1 long and 1 short) at EMNLP 2023 in 🇸🇬 Singapore . I love durian and kaya toast 🥪 very much.
04/2023: I gave a tallk at Munich🥨NLP. Check out the video recording!
01/2023: I gave a tallk at Schütze Lab @ LMU Munich introduing my work in LegalNLP.
12/2022: I presented our papers (1 main, 1 finding and 1 NLLP workshop) at EMNLP 2022 in Abu Dhabi 🇦🇪.
08/2022: I attended the XAISS eXplainable AI Summer School in Delft 🇳🇱, where I enjoyed the great legictures and amazing socials. During this trip I discovered Ramen Nikkou, best Ramen in Europe, highly recommend. ラーメン、さぼりません 🍜
06/2022: I presented our paper CANLI: an Adversarial Dataset for NLI and a Probing Task at LREC 2022 in Marseille 🇫🇷. My favourite restaurant of the trip is Ourea, an intimate bistro focusing using high quality local Mediterranean fish and vegetables with perfect wine recommendation.

**Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases.** Shanshan Xu, T.Y.S.S Santosh, Yanai Elazar, Quirin Vogel, Barbara Plank, Matthias Grabmair. Under Review**.**
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification. Shanshan Xu**,** Santosh T.Y.S.S, Oana Ichim, Barbara Plank, Matthias Grabmair. ACL 2024 (Oral).
From Dissonance to Insights: Dissecting Disagreements in Rationale Dataset Construction for Case Outcome Classification. Shanshan Xu, ****Santosh T.Y.S.S, Oana Ichim, Isabella Risini, Barbara Plank, Matthias Grabmair. EMNLP 2023.
**VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights.** Shanshan Xu, Leon Staufer, Santosh T.Y.S.S, Oana Ichim, Corina Heri, Matthias Grabmair. EMNLP 2023.
Deconfounding Legal Judgment Prediction towards Better Alignment with Experts for the European Court of Human Rights. Santosh T.Y.S.S, Shanshan Xu,** Oana Ichim, Matthias Grabmair. EMNLP 2022 (Oral; *Equal Contribution)