Papers with JPO
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization (2025.findings-acl)
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| Challenge: | Recent studies have shown that acquiring human preferences by comparing generations is not effective for large language models. |
| Approach: | They propose a preference optimization objective that elicits preferences jointly over the instruction-response pairs. |
| Outcome: | The proposed approach outperforms prior preference optimizations by 5.2% and 3.3% in summarization and open-ended dialogue datasets. |
From Technology to Market. Bilingual Corpus on the Evaluation of Technology Opportunity Discovery (2024.lrec-main)
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| Challenge: | a large variety of TOD approaches have been proposed to explore emerging technologies and diversify existing products and services. |
| Approach: | They propose to use a technology-market corpus in English and Japanese to construct a market space using a BERT model. |
| Outcome: | The proposed method is based on a fine-tuned BERT model for linking technology to the market. |
JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus (2024.lrec-main)
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| Challenge: | a recent study has demonstrated that patent translation accuracy improves as the amount of training data or the number of model parameters increases. |
| Approach: | They construct a bilingual corpus of Japanese-English patent application data from 2000 to 2021 . they extracted 1.4M Japanese- English document pairs and extracted 350M sentence pairs . |
| Outcome: | The proposed method improves translation accuracy by 20 bleu points . it is the first publicly available large-scale Japanese-English patent corpus . |