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Surendrabikram Thapa

ACL 2026×2ECCV 2026多模态数据与预训练社会与人本评测与基准对齐与偏好
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0 一作 · 3 篇 · ACL 2026 / ECCV 2026

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2026 顶会论文

3
作者位次 #21/43ACL 2026Findings· Findings of ACL

POLAR : A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization

Usman Naseem · Robert Geislinger · Juan Ren · Sarah Kohail · Rudy Alexandro Garrido Veliz · P Sam Sahil · Yiran Zhang · Idris Abdulmumin · Marco Antonio Stranisci · Özge Alacam · Cengiz Acarturk · Aisha Jabr · Saba Anwar · Abinew Ali Ayele · Simona Frenda · Alessandra Teresa Cignarella · Elena Tutubalina · Oleg Rogov · Aung Kyaw Htet · Xintong Wang · Surendrabikram Thapa · Kritesh Rauniyar · Tanmoy Chakraborty · MD Arfeen Zeeshan · Dheeraj Kodati · Satya Keerthi · Sahar Moradizeyveh · Firoj Alam · Md Arid Hasan · Syed Ishtiaque Ahmed · Ye Kyaw Thu · Shantipriya Parida · Ihsan Ayyub Qazi · Lilian Diana Awuor Wanzare · Nelson Odhiambo Onyango · Clemencia Siro · Jane Wanjiru Kimani · Ibrahim Said Ahmad · Adem Chanie Ali · Martin Semmann · Chris Biemann · Shamsuddeen Hassan Muhammad · Seid Muhie Yimam

摘要

Online polarization poses a growing challenge for democratic discourse, yet most computational social science research remains monolingual, culturally narrow, or event-specific. We introduce POLAR, a multilingual, multicultural, and multi-event dataset with over 110K instances in 22 languages dra...

评测与基准数据与预训练社会与人本OpenReview 项目页
作者位次 #5/9ACL 2026Findings· Findings of ACL

Self-Explaining Hate Speech Detection with Moral Rationales

Francielle Vargas · Jackson Trager · Diego Alves · Matteo Guida · Surendrabikram Thapa · Berk Atıl · Daryna Dementieva · Andrew J Smart · Ameeta Agrawal

摘要

Existing hate speech detection models are often opaque and rely on surface-level lexical cues, which makes them vulnerable to spurious correlations and limits robustness, interpretability and cultural contextualization. We propose Supervised Moral Rationale Attention (SMRA), the first self-explai...

社会与人本多模态对齐与偏好OpenReview 项目页

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