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20232026
most citedContrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

19 citations · 21 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval

Reno Kriz, Kate Sanders, David Etter +10

Efficiently retrieving and synthesizing information from large-scale multimodal collections has become a critical challenge. However, existing video retrieval datasets suffer from…

cs.CL2024

Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets

Tianjian Li, Haoran Xu, Weiting Tan +2

Data abundance across different domains exhibits a long-tailed distribution: few domains have abundant data, while most face data scarcity. Our work focuses on a multilingual setti…

cs.CL2024

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale

Haoran Xu, Kenton Murray, Philipp Koehn +3

Large language models (LLMs) have achieved remarkable success across various NLP tasks with a focus on English due to English-centric pre-training and limited multilingual data. In…

cs.CL2024★ 2 cited

Preliminary WMT24 Ranking of General MT Systems and LLMs

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +18

This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking…

cs.CL2024★ 19 cited

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Haoran Xu, Amr Sharaf, Yunmo Chen +5

Moderate-sized large language models (LLMs) -- those with 7B or 13B parameters -- exhibit promising machine translation (MT) performance. However, even the top-performing 13B LLM-b…