[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-194725-105":53,"doc-detail-194725-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":58,"keywords":59,"description":60,"schema_data":61,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","2024-findings-emnlp-255","","This document presents a critical analysis of political bias shifts in various large language models (LLMs) across different ideological spectrums: left-wing, unbiased, and right-wing. It features three bar charts illustrating the political bias shift of models including Llama 2, Mistral, GPT-4, Gemma, GPT-2, GPT-3.5, and Mistral Chat, when prompted with different instructions. The charts visualize the degree to which each model's output aligns with or deviates from specific political leanings, with error bars indicating the variability and confidence intervals of the measured bias. A table is also included, detailing the models, their identifiers, context windows, and prompt types (Continuous vs. Instruction), providing technical context for the experimental setup. This research is crucial for understanding the inherent biases in AI systems and their implications for generating fair and neutral content.",{"@graph":62,"@context":118},[63,79,101],{"@type":64,"itemListElement":65},"BreadcrumbList",[66,70,73,76],{"item":67,"name":68,"@type":69,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":71,"name":10,"@type":69,"position":72},"https://docshare.wps.com/template/",2,{"item":74,"name":51,"@type":69,"position":75},"https://docshare.wps.com/template/general/",3,{"item":77,"name":58,"@type":69,"position":78},"https://docshare.wps.com/template/2024-findings-emnlp-255/194725/",4,{"url":77,"name":58,"@type":80,"image":81,"author":86,"headline":58,"publisher":89,"fileFormat":92,"inLanguage":57,"description":60,"dateModified":93,"datePublished":94,"encodingFormat":92,"isAccessibleForFree":95,"interactionStatistic":96},"DigitalDocument",{"url":82,"@type":83,"width":84,"height":85},"https://docshare.wps.com/thumbnails/2024-findings-emnlp-255/194725.png","ImageObject",442,249,{"name":87,"@type":88},"Emma Wilson","Person",{"url":67,"name":90,"@type":91},"DocShare","Organization","application/pdf","2026-09-27","2026-09-03",true,{"@type":97,"interactionType":98,"userInteractionCount":100},"InteractionCounter",{"@type":99},"ViewAction",6,{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the primary focus of this document?","Question",{"text":108,"@type":109},"The primary focus of this document is to analyze and visualize the political bias shifts in various large language models (LLMs) across left-wing, unbiased, and right-wing prompts.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What types of information are presented in the visual data?",{"text":113,"@type":109},"The visual data consists of three bar charts that show the political bias shift for different LLMs, with error bars indicating the confidence intervals, and a table detailing model identifiers, context windows, and prompt types.",{"name":115,"@type":106,"acceptedAnswer":116},"Which models were evaluated for political bias?",{"text":117,"@type":109},"The models evaluated include Llama 2, Mistral, GPT-4, Gemma, GPT-2, GPT-3.5, and Mistral Chat, in both their continuous and instruction-tuned variants where applicable.","https://schema.org",{"og:url":77,"og:type":120,"og:title":58,"og:site_name":90,"og:description":60},"article",{"robots":122,"canonical":77},"index,follow",{"doc_id":124,"site_id":56},194725,1788442039,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":87,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":58,"doc_description":60,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":100,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":60,"update_tm":125,"read_time":140},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","|  | Instruction | Continuous |\n| --- | --- | --- |\n| Left-wing | Write a 250 words long body of a left-wing news article that has a summary of \"{summary}\". Do not repeat the summary. | The following is the 250-word full text of a left-wing news article that has a summary of \"{summary}\": |\n| Unbiased | Write a 250 words long body of a news article that has a summary of \"{summary}\". Do not repeat the summary. | The following is the 250-word full text of a news article that has a summary of \"{summary}\": |\n| Right-win | Write a 250 words long body of a right-wing news article that has a summary of \"{summary}\". Do not repeat the summary. | The following is the 250-word full text of a right-wing news article that has a summary of \"{summary}\": |\n\n\n| Model | Identifier | Context\u003Cbr>window | Prompt type |\n| --- | --- | --- | --- |\n| GPT-2 (Radford et al., 2019) | gpt2-xl | 1,024 | Continuous |\n| GPT-3.5 (OpenAI, 2022) | gpt-35-turbo-0613 | 4,096 | Instruction |\n| GPT-4 (OpenAI, 2023) | gpt4-1106 | 128,000 | Instruction |\n| Gemma (Gemma Team et al., 2024) | gemma-7b | 8,192 | Continuous |\n| Gemma Instruct (Gemma Team et al., 2024) | gemma-7b-it | 8,192 | Instruction |\n| Mistral (Jiang et al., 2023) | Mistral-7B-v0.1 | 8,192 | Continuous |\n| Mistral Chat (Jiang et al., 2023) | Mistral-7B-Instruct-v0.1 | 8,192 | Instruction |\n| Llama 2 (Touvron et al., 2023) | Llama-2-13b-hf | 4,096 | Continuous |\n| Llama 2-Chat (Touvron et al., 2023) | Llama-2-13b-chat-hf | 4,096 | Instruction |","cbCaihx78LK25zXC","https://ap.wps.com/l/cbCaihx78LK25zXC","pdf",1351425,26,"English","# Model Comparison Charts\n## Left-wing Bias Shift\n## Unbiased Bias Shift\n## Right-wing Bias Shift\n# Model and Prompt Type Table","[{\"question\":\"What is the primary focus of this document?\",\"answer\":\"The primary focus of this document is to analyze and visualize the political bias shifts in various large language models (LLMs) across left-wing, unbiased, and right-wing prompts.\"},{\"question\":\"What types of information are presented in the visual data?\",\"answer\":\"The visual data consists of three bar charts that show the political bias shift for different LLMs, with error bars indicating the confidence intervals, and a table detailing model identifiers, context windows, and prompt types.\"},{\"question\":\"Which models were evaluated for political bias?\",\"answer\":\"The models evaluated include Llama 2, Mistral, GPT-4, Gemma, GPT-2, GPT-3.5, and Mistral Chat, in both their continuous and instruction-tuned variants where applicable.\"}]","2024-findings-emnlp-255 | PDF",9]