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Philine Widmer

dblp:314/6055 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-3147-018XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Trustworthy machine learning · 67% Language models and text generation · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
alignment
0.812024
Aligning Large Language Models with Diverse Political Viewpoints · EMNLP 2024
Machine learning › Trustworthy machine learning
fairness
0.812024
Aligning Large Language Models with Diverse Political Viewpoints · EMNLP 2024
Machine learning › Trustworthy machine learning › fairness › bias mitigation
political bias mitigation
0.812024
Aligning Large Language Models with Diverse Political Viewpoints · EMNLP 2024

Methods — techniques the papers use, named apart from their topics

fine-tuning · 0.8ORPO · 0.8
YearPublicationVenuePosition
2024 Aligning Large Language Models with Diverse Political Viewpoints
abstract
Large language models such as ChatGPT exhibit striking political biases.If users query them about political information, they often take a normative stance.To overcome this, we align LLMs with diverse political viewpoints from 100,000 comments written by candidates running for national parliament in Switzerland.Models aligned with this data can generate more accurate political viewpoints from Swiss parties, compared to commercial models such as ChatGPT.We also propose a procedure to generate balanced overviews summarizing multiple viewpoints using such models.The replication package contains all code and data. github.com/dominiksinsaarland/aligning-LLMs-with-political-viewsParty ChatGPT generation ORPO-aligned Llama 3 model SP Yes, the state should do more to promote equal educational opportunities in order to promote equal opportunities and reduce social inequalities.Tuition vouchers for pupils from lowincome families can be a useful instrument in this regard.overlap answer and party stance: highEqual opportunities are the foundation of our state.overlap answer and party stance: high Die Mitte Yes, Die Mitte supports the promotion of equal educational opportunities for all pupils.Measures such as tuition vouchers for pupils from low-income families can help to promote equal opportunities in the education system.overlap answer and party stance: mediumFunding is important, but not only for low-income families.overlap answer and party stance: high FDP Yes, the state should do more to promote equal educational opportunities.Tuition vouchers for pupils from low-income families could be a useful instrument in this regard.overlap answer and party stance: low
Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash
EMNLP2