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cs.CV2026

Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models

Shengqiang Zhang, Ruotong Liao, Volker Tresp +2

Text-guided image editing with visual autoregressive (VAR) generators requires controlling both what the model samples and where the sampled change is written back into the image c…

cs.CL2026

ltzGLUE: Luxembourgish General Language Understanding Evaluation

Alistair Plum, Felicia Körner, Anne-Marie Lutgen +8

This paper presents ltzGLUE, the first Natural Language Understanding (NLU) benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English. Although NLU tasks ar…

cs.CL2026

Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining

Felicia Körner, Maria Matveev, Florian Eichin +3

Large language models exhibit impressive cross-lingual capabilities. However, prior work analyzes this phenomenon through isolated factors and at sparse points during training, lim…

cs.CL2026

Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning

Niyati Bafna, Ryan Soh-Eun Shim, Barbara Plank +2

Where there is growing interest in in-context language learning (ICLL) for unseen languages with large language models, such languages usually suffer from the lack of NLP tools, da…

cs.CL2026

SteerEval: Inference-time Interventions Strengthen Multilingual Generalization in Neural Summarization Metrics

Silvia Casola, Ryan Soh-Eun Shim, Felicia Körner +2

An increasing body of work has leveraged multilingual language models for Natural Language Generation tasks such as summarization. A major empirical bottleneck in this area is the…

cs.CL2026

Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration

Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang +8

Multilingual speech foundation models such as Whisper are trained on web-scale data, where data for each language consists of a myriad of regional varieties. However, different reg…