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 {"tstamp": 1736417588.1038, "task_type": "retrieval", "type": "leftvote", "models": ["Alibaba-NLP/gte-Qwen2-7B-instruct", "nomic-ai/nomic-embed-text-v1.5"], "ip": "", "0_conv_id": "a31abf0c069e49fd82272a207e2e676a", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "when was the first case of alzheimer's diagnosed", "0_output": [["when was the first case of alzheimer's diagnosed", "Auguste Deter\n\nAuguste Deter (, ; 16 May 1850 – 8 April 1906) was a German woman notable for being the first person to be diagnosed with Alzheimer's disease.\nLife\nAuguste was born in Kassel, Hesse-Kassel on May 16, 1850. Born into a working-class family, Auguste had three siblings and was a daughter of Johannes Hohmann."]], "0_corpus": "wikipedia", "1_conv_id": "71e4647c0a5a4cc99bc98cd911f6e932", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "when was the first case of alzheimer's diagnosed", "1_output": [["when was the first case of alzheimer's diagnosed", "Alzheimer's disease\n\nFor most of the 20th century, the diagnosis of Alzheimer's disease was reserved for individuals between the ages of 45 and 65 who developed symptoms of dementia. The terminology changed after 1977 when a conference on Alzheimer's disease concluded that the clinical and pathological manifestations of presenile and senile dementia were almost identical, although the authors also added that this did not rule out the possibility that they had different causes. This eventually led to the diagnosis of Alzheimer's disease independent of age. The term senile dementia of the Alzheimer type (SDAT) was used for a time to describe the condition in those over 65, with classical Alzheimer's disease being used to describe those who were younger. Eventually, the term Alzheimer's disease was formally adopted in medical nomenclature to describe individuals of all ages with a characteristic common symptom pattern, disease course, and neuropathology.\nThe National Institute of Neurological and Communicative Disorders and Stroke (NINCDS) and the Alzheimer's Disease and Related Disorders Association (ADRDA, now known as the Alzheimer's Association) established the most commonly used NINCDS-ADRDA Alzheimer's Criteria for diagnosis in 1984, extensively updated in 2007. These criteria require that the presence of cognitive impairment, and a suspected dementia syndrome, be confirmed by neuropsychological testing for a clinical diagnosis of possible or probable Alzheimer's disease. A histopathologic confirmation including a microscopic examination of brain tissue is required for a definitive diagnosis. Good statistical reliability and validity have been shown between the diagnostic criteria and definitive histopathological confirmation.\nSociety and culture\nSocial costs\nDementia, and specifically Alzheimer's disease, may be among the most costly diseases for societies worldwide. As populations age, these costs will probably increase and become an important social problem and economic burden. Costs associated with AD include direct and indirect medical costs, which vary between countries depending on social care for a person with AD. Direct costs include doctor visits, hospital care, medical treatments, nursing home care, specialized equipment, and household expenses. Indirect costs include the cost of informal care and the loss in productivity of informal caregivers."]], "1_corpus": "wikipedia"}
 {"tstamp": 1736417635.6321, "task_type": "retrieval", "type": "leftvote", "models": ["Alibaba-NLP/gte-Qwen2-7B-instruct", "sentence-transformers/all-MiniLM-L6-v2"], "ip": "", "0_conv_id": "aff9f6dbf03f47b5a7f77f62219f13c0", "0_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "0_prompt": "Open source framework for prompt-learning in NLP tasks", "0_output": [["Open source framework for prompt-learning in NLP tasks", "Title: OpenPrompt: An Open-source Framework for Prompt-learning\n\nAbstract: Prompt-learning has become a new paradigm in modern natural language processing, which directly adapts pre-trained language models (PLMs) to $cloze$-style prediction, autoregressive modeling, or sequence to sequence generation, resulting in promising performances on various tasks. However, no standard implementation framework of prompt-learning is proposed yet, and most existing prompt-learning codebases, often unregulated, only provide limited implementations for specific scenarios. Since there are many details such as templating strategy, initializing strategy, and verbalizing strategy, etc. need to be considered in prompt-learning, practitioners face impediments to quickly adapting the desired prompt learning methods to their applications. In this paper, we present {OpenPrompt}, a unified easy-to-use toolkit to conduct prompt-learning over PLMs. OpenPrompt is a research-friendly framework that is equipped with efficiency, modularity, and extendibility, and its combinability allows the freedom to combine different PLMs, task formats, and prompting modules in a unified paradigm. Users could expediently deploy prompt-learning frameworks and evaluate the generalization of them on different NLP tasks without constraints. OpenPrompt is publicly released at {\\url{ https://github.com/thunlp/OpenPrompt}}."]], "0_corpus": "arxiv", "1_conv_id": "9a479d3b7d3c4d1887492407970f176e", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "Open source framework for prompt-learning in NLP tasks", "1_output": [["Open source framework for prompt-learning in NLP tasks", "Title: Pressure and intermittency in passive vector turbulence\n\nAbstract: We investigate the scaling properties a model of passive vector turbulence with pressure and in the presence of a large-scale anisotropy. The leading scaling exponents of the structure functions are proven to be anomalous. The anisotropic exponents are organized in hierarchical families growing without bound with the degree of anisotropy. Nonlocality produces poles in the inertial-range dynamics corresponding to the dimensional scaling solution. The increase with the P\\'{e}clet number of hyperskewness and higher odd-dimensional ratios signals the persistence of anisotropy effects also in the inertial range."]], "1_corpus": "arxiv"}
 {"tstamp": 1736487164.7787, "task_type": "retrieval", "type": "rightvote", "models": ["mixedbread-ai/mxbai-embed-large-v1", "voyage-multilingual-2"], "ip": "", "0_conv_id": "702224ece89d4e6bbd00623d2d41b798", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Progress in artificial intelligence\n\nSub-human Optical character recognition for printed text (nearing par-human for Latin-script typewritten text)\nObject recognition\nVarious robotics tasks that may require advances in robot hardware as well as AI, including:\nStable bipedal locomotion: Bipedal robots can walk, but are less stable than human walkers (as of 2017)\nHumanoid soccer\nSpeech recognition: \"nearly equal to human performance\" (2017)\nExplainability. Current medical systems can diagnose certain medical conditions well, but cannot explain to users why they made the diagnosis.\nMany tests of fluid intelligence (2020)\nBongard visual cognition problems, such as the Bongard-LOGO benchmark (2020)\nVisual Commonsense Reasoning (VCR) benchmark (as of 2020)\nStock market prediction: Financial data collection and processing using Machine Learning algorithms\nAngry Birds video game, as of 2020\nVarious tasks that are difficult to solve without contextual knowledge, including:\nTranslation\nWord-sense disambiguation\nProposed tests of artificial intelligence\nIn his famous Turing test, Alan Turing picked language, the defining feature of human beings, for its basis. The Turing test is now considered too exploitable to be a meaningful benchmark.\nThe Feigenbaum test, proposed by the inventor of expert systems, tests a machine's knowledge and expertise about a specific subject. A paper by Jim Gray of Microsoft in 2003 suggested extending the Turing test to speech understanding, speaking and recognizing objects and behavior."]], "0_corpus": "wikipedia", "1_conv_id": "c71b5ec0100b4e1f849a3dc4a8e8b5c5", "1_model_name": "voyage-multilingual-2", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe test was introduced by Turing in his 1950 paper \"Computing Machinery and Intelligence\" while working at the University of Manchester. It opens with the words: \"I propose to consider the question, 'Can machines think? Because \"thinking\" is difficult to define, Turing chooses to \"replace the question by another, which is closely related to it and is expressed in relatively unambiguous words.\" Turing describes the new form of the problem in terms of a three-person game called the \"imitation game\", in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players. Turing's new question is: \"Are there imaginable digital computers which would do well in the imitation game?\" This question, Turing believed, was one that could actually be answered. In the remainder of the paper, he argued against all the major objections to the proposition that \"machines can think\".\nSince Turing introduced his test, it has been both highly influential and widely criticized, and has become an important concept in the philosophy of artificial intelligence. Philosopher John Searle would comment on the Turing test in his Chinese room argument, a thought experiment that stipulates that a machine cannot have a \"mind\", \"understanding\", or \"consciousness\", regardless of how intelligently or human-like the program may make the computer behave. Searle criticizes Turing's test and claims it is insufficient to detect the presence of consciousness.\nHistory"]], "1_corpus": "wikipedia"}
+{"tstamp": 1736515389.11, "task_type": "retrieval", "type": "leftvote", "models": ["text-embedding-3-large", "BAAI/bge-large-en-v1.5"], "ip": "", "0_conv_id": "cdfd4fd9292c47ad9eafd5e65905866d", "0_model_name": "text-embedding-3-large", "0_prompt": "Who wrote about a guide more popular than the Encyclopedia Galactica?", "0_output": [["Who wrote about a guide more popular than the Encyclopedia Galactica?", "The Hitchhiker's Guide to the Galaxy (fictional)\n\nIn the original radio scripts, the Guide's voice was called the \"Narrator\" and in the 2004–2005 series, \"The Voice\". For all of the radio series and the 1981 TV series, the role was credited as \"The Book\", though this was changed to \"Narrator/The Guide\" for the 2005 movie.\nIn the first two phases of the radio series, the LP album adaptations of the first radio series and in the television series, the Guide was voiced by British actor Peter Jones. During the 2004–2005 radio series, The Guide was voiced by William Franklyn. In the film version, it was voiced by Stephen Fry. In the Hexagonal Phase of the radio series, based on the novel, And Another Thing..., the Guide was voiced by the series co-creator John Lloyd.\nOverview\nThe \"wholly remarkable\" Guide is described as being Megadodo Publications' most successful book, being more popular than The Celestial Homecare Omnibus, better-selling than 53 More Things To Do in Zero Gravity and more controversial than philosophical author Oolon Colluphid's blockbuster \"God Trilogy\" (Where God Went Wrong, Some More of God's Greatest Mistakes, and Who is this God Person Anyway?).\nIt is said to have supplanted the rival Encyclopedia Galactica as a \"standard repository of all knowledge and wisdom\" in some parts of the galaxy for two reasons, one of them being that has a slightly cheaper price, and the other that it has the words \"DON'T PANIC\" printed on its cover."]], "0_corpus": "wikipedia", "1_conv_id": "ac64789399e84800a82cdd0c4da2c433", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "Who wrote about a guide more popular than the Encyclopedia Galactica?", "1_output": [["Who wrote about a guide more popular than the Encyclopedia Galactica?", "The Hitchhiker's Guide to the Galaxy (fictional)\n\nThe Hitchhiker's Guide to the Galaxy is a fictional electronic guide book in the multimedia scifi/comedy series of the same name by Douglas Adams. The Guide serves as \"the standard repository for all knowledge and wisdom\" for many members of the series' galaxy-spanning civilization. Entries from the guidebook are used as comic narration to bridge events and provide background information in every version of the story. The guide is published by \"Megadodo Publications\", a publishing company on Ursa Minor Beta, and it is written and edited by many characters throughout the series."]], "1_corpus": "wikipedia"}