Papers
Semantic Prosody in Machine Translation: the English-Chinese Case of Passive Structures
Xinyue Ma, Pol Pastells, Mariona Taulé Delor et al.
From Complex Word Identification to Substitution: Instruction-Tuned Language Models for Lexical Simplification
Tonghui Han, Xinru Zhang, Yaxin Bi et al.
Injecting Frame Semantics into Large Language Models via Prompt-Based Fine-Tuning
Shahid Iqbal Rai, Danilo Croce, Roberto Basili
Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions
Zhe Liu, Taekyu Kang, Haoyu Wang et al.
ChengyuSTS: An Intrinsic Perspective on Mandarin Idiom Representation
Le Qiu, Emmanuele Chersoni, Aline Villavicencio
Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy
Ieva Raminta Staliūnaitė, Andreas Vlachos
twinhter at LeWiDi-2025: Integrating Annotator Perspectives into BERT for Learning with Disagreements
Nguyen Huu Dang Nguyen, Dang Van Thin
PromotionGo at LeWiDi-2025: Enhancing Multilingual Irony Detection with Data-Augmented Ensembles and L1 Loss
Ziyi Huang, N. R. Abeynayake, Xia Cui
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
Taylor Sorensen, Yejin Choi
NLP-ResTeam at LeWiDi-2025:Performance Shifts in Perspective Aware Models based on Evaluation Metrics
Olufunke O. Sarumi, Charles Welch, Daniel Braun
McMaster at LeWiDi-2025: Demographic-Aware RoBERTa
Aadi Sanghani, Sarvin Azadi, Virendra Jethra et al.
LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo
Mandira Sawkar, Samay U. Shetty, Deepak Pandita et al.
LeWiDi-2025 at NLPerspectives: Third Edition of the Learning with Disagreements Shared Task
Elisa Leonardelli, Silvia Casola, Siyao Peng et al.
DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning
Daniil Ignatev, Nan Li, Hugh Mee Wong et al.
BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
Tomas Ruiz, Siyao Peng, Barbara Plank et al.
Non-directive corpus annotation to reveal individual perspectives with underspecified guidelines: the case of mental workload
Iuliia Arsenteva, Caroline Dubois, Philippe Le Goff et al.
Calibration as a Proxy for Fairness and Efficiency in a Perspectivist Ensemble Approach to Irony Detection
Samuel B. Jesus, Guilherme Dal Bianco, Wanderlei Junior et al.
SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation
Yizhe Zhang, Navdeep Jaitly
Hypernetworks for Perspectivist Adaptation
Daniil Ignatev, Denis Paperno, Massimo Poesio
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
Stephanie Eckman, Bolei Ma, Christoph Kern et al.
Weak Ensemble Learning from Multiple Annotators for Subjective Text Classification
Ziyi Huang, N. R. Abeynayake, Xia Cui
Revisiting Active Learning under (Human) Label Variation
Cornelia Gruber, Helen Alber, Bernd Bischl et al.
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
Gavin Abercrombie, Tanvi Dinkar, Amanda Cercas Curry et al.
Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions
Eve Fleisig, Matthias Orlikowski, Philipp Cimiano et al.
From Disagreement to Understanding: The Case for Ambiguity Detection in NLI
Chathuri Jayaweera, Bonnie J. Dorr