4 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing
Pruthwik Mishra, Rudra Trivedi, Avi Patel +2
Language identification in code-mixed text, largely observed in social media, is highly essential when users frequently switch between multiple languages within a single utterance.…
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept Unlearning
Ashok Urlana, L. D. M. S. Sai Teja, Vivek Hruday Kavuri +1
We present our submission to Task 3 of the Gen 2.0 Challenge on visual concept unlearning. Building on MapRoute, we introduce task-specific training objectives, richer concept r…
Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
Pinzhen Chen, Koel Dutta Chowdhury, Xiaoya Xu +20
Multilingual translation benchmarks are typically sourced in English and translated into other languages, treating language pairs as the unit of evaluation---a design that is prone…
Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs
Dinesh Srivasthav P, Ashok Urlana, Rahul Mishra +2
Machine unlearning aims to selectively remove the influence of specific training samples to satisfy privacy regulations such as the GDPR's 'Right to be Forgotten'. However, many ex…