Showing 2026Show all
2 papers · 1 filter
cs.CL2026
Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance
Weihua Zheng, Chang Liu, Zhengyuan Liu +5
Multilingual Large Language Models (LLMs) struggle with cross-lingual tasks due to data imbalances between high-resource and low-resource languages, as well as monolingual bias in…
cs.LG2026
Pay for Hints, Not Answers: LLM Shepherding for Cost-Efficient Inference
Ziming Dong, Hardik Sharma, Evan O'Toole +2
Large Language Models (LLMs) deliver state-of-the-art performance on complex reasoning tasks, but their inference costs limit deployment at scale. Small Language Models (SLMs) offe…