Multilingual GSM-Symbolic: What determines capability transfer across languages? Paper • 2610.03367 • Published Oct 2 • 23
Selecting The Most Informative Tokens in Natural Language Autoencoders Paper • 2609.37040 • Published Sep 29 • 15
TransClean: A Benchmark for Detecting and Extracting Clean Translations from Large Language Model Outputs Paper • 2609.11399 • Published Sep 10
IndicQE-APE: A Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages Paper • 2608.16344 • Published Aug 17
Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation Paper • 2602.08600 • Published Feb 9
MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Paper • 2607.00890 • Published Jul 1
The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation Paper • 2508.18569 • Published Aug 26, 2025
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages Paper • 2501.04473 • Published Jan 8, 2025 • 1
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? Paper • 2410.06338 • Published Oct 8, 2024
DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data Paper • 2608.13517 • Published Aug 13 • 32
DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data Paper • 2608.13517 • Published Aug 13 • 32
BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling Paper • 2606.09707 • Published Jun 8 • 8
PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models Paper • 2606.09697 • Published Jun 8 • 7
PsychoSafe: Eliciting Psychologically-Informed Refusals in Large Language Models Paper • 2606.09697 • Published Jun 8 • 7
BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling Paper • 2606.09707 • Published Jun 8 • 8
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs Paper • 2606.06286 • Published Jun 4 • 7
LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs Paper • 2606.06286 • Published Jun 4 • 7
DaLA: Danish Linguistic Acceptability Evaluation Guided by Real World Errors Paper • 2512.04799 • Published Dec 4, 2025
SommBench: Assessing Sommelier Expertise of Language Models Paper • 2603.12117 • Published Mar 12 • 1