ServiceNow recherche

Multi-Lingual

M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
Instruction finetuning (IFT) is critical for aligning Large Language Models (LLMs) to follow instructions. While many effective IFT …
Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages
Multilingual LLMs have achieved remarkable benchmark performance, but we find they continue to underperform on non-Latin script …
MMTEB: Massive Multilingual Text Embedding Benchmark

Text embeddings are typically evaluated on a narrow set of tasks, limited in terms of languages, domains, and task types. To circumvent …

M-RewardBench: Evaluating Reward Models in Multilingual Settings
Reward models (RMs) have driven the state-of-the-art performance of LLMs today by enabling the integration of human feedback into the …
Multilingual Code Retrieval Without Paired Data: A New Benchmark and Experiments
We seek to overcome limitations to code retrieval quality posed by the scarcity of data containing pairs of code snippets and natural …