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 {"tstamp": 1732192902.8791, "task_type": "retrieval", "type": "leftvote", "models": ["Alibaba-NLP/gte-Qwen2-7B-instruct", "text-embedding-004"], "ip": "", "0_conv_id": "4fda192af4c643d4bb040599641b6b1f", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "when searching a legal document what should be looked out for", "0_output": [["when searching a legal document what should be looked out for", "Legal writing\n\nThe drafting of legal documents such as contracts is different as, unlike in most other legal writing categories, it is common to use language and clauses that are derived from form books, legal opinions and other documents without attribution. Lawyers use forms documents when drafting documents such as contracts, wills, and judgments. The key difference between using phrases or paragraphs from other legal documents, and copying in other contexts or copying the entire document, arises from the fact that lawyers are effectively drawing upon a common pool of clauses that they adjust and modify for their own purposes.\nPlain language movement\nThe Plain Language Movement in legal writing involves an effort to avoid complex language and terminology in legal documents, to make legal writing more understandable and accessible. One of the goals of the movement is to reduce reliance on terms of art, words that have a specific meaning within the context of the law, but that may carry a different meaning in other contexts.\nLegalese\nLegalese is an English term first used in 1914 for legal writing that is very difficult for laymen to read and understand, the implication being that this abstruseness is deliberate for excluding the legally untrained and to justify high fees. Legalese, as a term, has been adopted in other languages. Legalese is characterized by long sentences, many modifying clauses, complex vocabulary, high abstraction, and insensitivity to the layman's need to understand the document's gist. Legalese arises most commonly in legal drafting, yet appears in both types of legal analysis.\nSome important points in the debate of \"legalese\" v. \"plain language\" as the continued standard for legal writing include:"]], "0_corpus": "wikipedia", "1_conv_id": "91966d131dcf4e1bbcb1aa62475a3958", "1_model_name": "text-embedding-004", "1_prompt": "when searching a legal document what should be looked out for", "1_output": [["when searching a legal document what should be looked out for", "Legal research\n\nThe processes of legal research vary according to the country and the legal system involved. Legal research involves tasks such as:\nFinding primary sources of law, or primary authority, in a given jurisdiction. The main primary sources of law include constitutions, case law, statutes, and regulations.\nSearching secondary authority for background information about legal topics.  Secondary authorities can come in many forms, such as law reviews, legal dictionaries, legal treatises, and legal encyclopedias such as American Jurisprudence and Corpus Juris Secundum.\nSearching non-legal sources for investigative or supporting factual information.\nLegal research is performed by anyone with a need for legal information, including lawyers, law librarians, and paralegals. Sources of legal information can include printed books, free legal research websites (like Cornell Law School's Legal Information Institute, Findlaw.com, Martindale Hubbell, or CanLII), and websites or software providing paid access to legal research databases such as Wolters Kluwer, LexisNexis, Westlaw, Lex Intell, VLex, and Bloomberg Law. Law libraries around the world provide research services to help their patrons in law schools, law firms, and other research environments find the legal information they need. Many law libraries and institutions provide free access to legal information on the web, either individually or via collective action, such as with the Free Access to Law Movement.\nDatabases and software tools"]], "1_corpus": "wikipedia"}
 {"tstamp": 1732229406.6839, "task_type": "retrieval", "type": "tievote", "models": ["mixedbread-ai/mxbai-embed-large-v1", "nomic-ai/nomic-embed-text-v1.5"], "ip": "", "0_conv_id": "2b4508e804e94ddda9e712d7d622c451", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "I am looking for a paper to using AI based applications to improve writing skills of foreign language learners", "0_output": [["I am looking for a paper to using AI based applications to improve writing skills of foreign language learners", "Title: Systematic Review for AI-based Language Learning Tools\n\nAbstract: The Second Language Acquisition field has been significantly impacted by a greater emphasis on individualized learning and rapid developments in artificial intelligence (AI). Although increasingly adaptive language learning tools are being developed with the application of AI to the Computer Assisted Language Learning field, there have been concerns regarding insufficient information and teacher preparation. To effectively utilize these tools, teachers need an in-depth overview on recently developed AI-based language learning tools. Therefore, this review synthesized information on AI tools that were developed between 2017 and 2020. A majority of these tools utilized machine learning and natural language processing, and were used to identify errors, provide feedback, and assess language abilities. After using these tools, learners demonstrated gains in their language abilities and knowledge. This review concludes by presenting pedagogical implications and emerging themes in the future research of AI-based language learning tools."]], "0_corpus": "arxiv", "1_conv_id": "06a431a154b649ce8f1f2de0a967e424", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "I am looking for a paper to using AI based applications to improve writing skills of foreign language learners", "1_output": [["I am looking for a paper to using AI based applications to improve writing skills of foreign language learners", "Title: Exploring AI-Generated Text in Student Writing: How Does AI Help?\n\nAbstract: English as foreign language_EFL_students' use of text generated from artificial intelligence_AI_natural language generation_NLG_tools may improve their writing quality. However, it remains unclear to what extent AI-generated text in these students' writing might lead to higher-quality writing. We explored 23 Hong Kong secondary school students' attempts to write stories comprising their own words and AI-generated text. Human experts scored the stories for dimensions of content, language and organization. We analyzed the basic organization and structure and syntactic complexity of the stories' AI-generated text and performed multiple linear regression and cluster analyses. The results show the number of human words and the number of AI-generated words contribute significantly to scores. Besides, students can be grouped into competent and less competent writers who use more AI-generated text or less AI-generated text compared to their peers. Comparisons of clusters reveal some benefit of AI-generated text in improving the quality of both high-scoring students' and low-scoring students' writing. The findings can inform pedagogical strategies to use AI-generated text for EFL students' writing and to address digital divides. This study contributes designs of NLG tools and writing activities to implement AI-generated text in schools."]], "1_corpus": "arxiv"}
 {"tstamp": 1732229513.5394, "task_type": "retrieval", "type": "leftvote", "models": ["mixedbread-ai/mxbai-embed-large-v1", "nomic-ai/nomic-embed-text-v1.5"], "ip": "", "0_conv_id": "5da672ecc57d4aaca67bb39d36e1e9b3", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "Which test was devised to determine whether aliens are real?", "0_output": [["Which test was devised to determine whether aliens are real?", "Alien abduction claimants\n\nMany repeat-abductees report that, as children from the ages of 2–6, they would be visited by balls of light that would enter their room at night. These balls would seem to play games with children and fly around the room. Some have interpreted them as being a way for the alleged abductees to develop their psychic abilities the way a physical ball helps develop coordination and athletic abilities. As such these intangible orbs have been dubbed \"psychic toys\". Although these phantasms are alleged to have appeared regularly, no corroborating sightings from members of the abductees' families or others that may have been expected to see them have been reported.\nHopkins Image Recognition Test\nUFO and abduction researcher Budd Hopkins has designed an image recognition test (known as the Hopkins Image Recognition Test, or HIRT) for children that he claims is helpful in verifying legitimate occurrences of alien abduction. There are ten different illustrated flash cards in the HIRT, nine of which depict \"images from myth, from the real world, and from popular culture\". The tenth image is the \"grey\" type entity commonly associated with claims of abduction. The images are drawn simply in black and white, featuring characters drawn in what Hopkins calls a \"neutral and inexpressive\" fashion. This is supposed to be a preventative measure intended to keep the images from affecting the child's responses on an emotional basis."]], "0_corpus": "wikipedia", "1_conv_id": "64ca6c20f6354cbe892abcd848b140f5", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "Which test was devised to determine whether aliens are real?", "1_output": [["Which test was devised to determine whether aliens are real?", "Mirror test\n\nThe mirror test—sometimes called the mark test, mirror self-recognition (MSR) test, red spot technique, or rouge test—is a behavioral technique developed in 1970 by American psychologist Gordon Gallup Jr. as an attempt to determine whether an animal possesses the ability of visual self-recognition. The MSR test is the traditional method for attempting to measure physiological and cognitive self-awareness. However, agreement has been reached that animals can be self-aware in ways not measured by the mirror test, such as distinguishing between their own and others' songs and scents, and being aware of their own bodies, while humans have abnormally good vision, and thus intelligence that is highly visual.\nIn the classic MSR test, an animal is anesthetized and then marked (e.g. paint or sticker) on an area of the body the animal normally cannot see (e.g. forehead). When the animal recovers from the anesthetic, it is given access to a mirror. If the animal then touches or investigates the mark, it is taken as an indication that the animal perceives the reflected image as an image of itself, rather than of another animal."]], "1_corpus": "wikipedia"}
+{"tstamp": 1732229586.9766, "task_type": "retrieval", "type": "tievote", "models": ["mixedbread-ai/mxbai-embed-large-v1", "nomic-ai/nomic-embed-text-v1.5"], "ip": "", "0_conv_id": "cb4a72d2941f45a2820077c0f06639ca", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "Can peoples memory be altered with news on televisions and newspapers", "0_output": [["Can peoples memory be altered with news on televisions and newspapers", "Title: Postmortem memory of public figures in news and social media\n\nAbstract: Deceased public figures are often said to live on in collective memory. We quantify this phenomenon by tracking mentions of 2,362 public figures in English-language online news and social media (Twitter) one year before and after death. We measure the sharp spike and rapid decay of attention following death and model collective memory as a composition of communicative and cultural memory. Clustering reveals four patterns of post-mortem memory, and regression analysis shows that boosts in media attention are largest for pre-mortem popular anglophones who died a young, unnatural death; that long-term boosts are smallest for leaders and largest for artists; and that, while both the news and Twitter are triggered by young and unnatural deaths, the news additionally curates collective memory when old persons or leaders die. Overall, we illuminate the age-old question who is remembered by society, and the distinct roles of news and social media in collective memory formation."]], "0_corpus": "arxiv", "1_conv_id": "c727d7a9dae2498c9dc4f26efb4e7d0a", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "Can peoples memory be altered with news on televisions and newspapers", "1_output": [["Can peoples memory be altered with news on televisions and newspapers", "Title: Postmortem memory of public figures in news and social media\n\nAbstract: Deceased public figures are often said to live on in collective memory. We quantify this phenomenon by tracking mentions of 2,362 public figures in English-language online news and social media (Twitter) one year before and after death. We measure the sharp spike and rapid decay of attention following death and model collective memory as a composition of communicative and cultural memory. Clustering reveals four patterns of post-mortem memory, and regression analysis shows that boosts in media attention are largest for pre-mortem popular anglophones who died a young, unnatural death; that long-term boosts are smallest for leaders and largest for artists; and that, while both the news and Twitter are triggered by young and unnatural deaths, the news additionally curates collective memory when old persons or leaders die. Overall, we illuminate the age-old question who is remembered by society, and the distinct roles of news and social media in collective memory formation."]], "1_corpus": "arxiv"}