Scheduled Commit

data/retrieval_battle-81269da8-6dc7-417a-8e0a-245c4a753482.jsonl

@@ -39,3 +39,5 @@
 {"tstamp": 1722392088.2313, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "85225ff2b983444c8cf0212454cc1197", "0_model_name": "voyage-multilingual-2", "0_prompt": "who came up with the idea of the transcontinental railroad", "0_output": [["who came up with the idea of the transcontinental railroad", "First transcontinental railroad\n\nThe Big Four Four northern California businessmen formed the Central Pacific Railroad: Leland Stanford, (1824–1893), President; Collis Potter Huntington, (1821–1900), Vice President; Mark Hopkins, (1813–1878), Treasurer; Charles Crocker, (1822–1888), Construction Supervisor. All became substantially wealthy from their association with the railroad. Judah, Marsh, Strong, Stanford, Huntington, Hopkins and Crocker, along with James Bailey and Lucius Anson Booth, became the first board of directors of the Central Pacific Railroad.\nThomas Durant\nFormer ophthalmologist Dr. Thomas Clark \"Doc\" Durant was nominally only a vice president of Union Pacific, so he installed a series of respected men like John Adams Dix as president of the railroad. While serving as vice president of Union Pacific he would be a key figure in the Crédit Mobilier scandal which ultimately led to his removal from the company.\nGrenville M. Dodge\nMajor General Grenville M. Dodge served as the chief engineer of Union Pacific during the construction of the First Transcontinental Railroad. In 1865 while fighting against Native-American tribes he would discover a pass in the Laramie Mountains, which would serve as a vital passage for the First Transcontinental Railroad. Dodge would serve in the United States House of Representatives for Iowa's 5th District from 1867 until 1869. During this time he would push for legislation to help the construction of the railroad."]], "0_corpus": "wikipedia", "1_conv_id": "927e17b7211d4670ae1eb6c0f3fd0fd3", "1_model_name": "intfloat/e5-mistral-7b-instruct", "1_prompt": "who came up with the idea of the transcontinental railroad", "1_output": [["who came up with the idea of the transcontinental railroad", "First transcontinental railroad\n\nAmerica's first transcontinental railroad (known originally as the \"Pacific Railroad\" and later as the \"Overland Route\") was a  continuous railroad line built between 1863 and 1869 that connected the existing eastern U.S. rail network at Council Bluffs, Iowa, with the Pacific coast at the Oakland Long Wharf on San Francisco Bay. The rail line was built by three private companies over public lands provided by extensive U.S. land grants. Building was financed by both state and U.S. government subsidy bonds as well as by company-issued mortgage bonds. The Western Pacific Railroad Company built  of track from the road's western terminus at Alameda/Oakland to Sacramento, California. The Central Pacific Railroad Company of California (CPRR) constructed  east from Sacramento to Promontory Summit, Utah Territory. The Union Pacific Railroad (UPRR) built  from the road's eastern terminus at the Missouri River settlements of Council Bluffs and Omaha, Nebraska, westward to Promontory Summit.\nThe railroad opened for through traffic between Sacramento and Omaha on May 10, 1869, when CPRR President Leland Stanford ceremonially tapped the gold \"Last Spike\" (later often referred to as the \"Golden Spike\") with a silver hammer at Promontory Summit. In the following six months, the last leg from Sacramento to San Francisco Bay was completed. The resulting coast-to-coast railroad connection revolutionized the settlement and economy of the American West. It brought the western states and territories into alignment with the northern Union states and made transporting passengers and goods coast-to-coast considerably quicker, safer and less expensive.\nThe first transcontinental rail passengers arrived at the Pacific Railroad's original western terminus at the Alameda Terminal on September 6, 1869, where they transferred to the steamer Alameda for transport across the Bay to San Francisco. The road's rail terminus was moved two months later to the Oakland Long Wharf, about a mile to the north, when its expansion was completed and opened for passengers on November 8, 1869. Service between San Francisco and Oakland Pier continued to be provided by ferry."]], "1_corpus": "wikipedia"}
 {"tstamp": 1722392115.6318, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "415fb556f184488b92d5725a2fa65296", "0_model_name": "voyage-multilingual-2", "0_prompt": "Paper analyzing the impact of misinformation generated by AI on Open-Domain Question Answering systems", "0_output": [["Paper analyzing the impact of misinformation generated by AI on Open-Domain Question Answering systems", "Title: Attacking Open-domain Question Answering by Injecting Misinformation\n\nAbstract: With a rise in false, inaccurate, and misleading information in propaganda, news, and social media, real-world Question Answering (QA) systems face the challenges of synthesizing and reasoning over misinformation-polluted contexts to derive correct answers. This urgency gives rise to the need to make QA systems robust to misinformation, a topic previously unexplored. We study the risk of misinformation to QA models by investigating the sensitivity of open-domain QA models to corpus pollution with misinformation documents. We curate both human-written and model-generated false documents that we inject into the evidence corpus of QA models and assess the impact on the performance of these systems. Experiments show that QA models are vulnerable to even small amounts of evidence contamination brought by misinformation, with large absolute performance drops on all models. Misinformation attack brings more threat when fake documents are produced at scale by neural models or the attacker targets hacking specific questions of interest. To defend against such a threat, we discuss the necessity of building a misinformation-aware QA system that integrates question-answering and misinformation detection in a joint fashion."]], "0_corpus": "arxiv", "1_conv_id": "bf554ef594fa42659fa1dc167287f96d", "1_model_name": "BM25", "1_prompt": "Paper analyzing the impact of misinformation generated by AI on Open-Domain Question Answering systems", "1_output": [["Paper analyzing the impact of misinformation generated by AI on Open-Domain Question Answering systems", "Title: Attacking Open-domain Question Answering by Injecting Misinformation\n\nAbstract: With a rise in false, inaccurate, and misleading information in propaganda, news, and social media, real-world Question Answering (QA) systems face the challenges of synthesizing and reasoning over misinformation-polluted contexts to derive correct answers. This urgency gives rise to the need to make QA systems robust to misinformation, a topic previously unexplored. We study the risk of misinformation to QA models by investigating the sensitivity of open-domain QA models to corpus pollution with misinformation documents. We curate both human-written and model-generated false documents that we inject into the evidence corpus of QA models and assess the impact on the performance of these systems. Experiments show that QA models are vulnerable to even small amounts of evidence contamination brought by misinformation, with large absolute performance drops on all models. Misinformation attack brings more threat when fake documents are produced at scale by neural models or the attacker targets hacking specific questions of interest. To defend against such a threat, we discuss the necessity of building a misinformation-aware QA system that integrates question-answering and misinformation detection in a joint fashion."]], "1_corpus": "arxiv"}
 {"tstamp": 1722392139.5942, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "13b3a212dd6045c5980c9c53a8030a19", "0_model_name": "voyage-multilingual-2", "0_prompt": "suzanne's story orange is the new black", "0_output": [["suzanne's story orange is the new black", "List of Orange Is the New Black characters\n\nWhen Yvonne \"Vee\" Parker enters the prison and forms an African-American gang, Suzanne falls for Vee's charms and maternal influence, being exploited into becoming Vee's \"muscle.\" While zealously loyal to Vee, Suzanne violently beat or threatened any inmates who crossed her, almost acting on command. Later, Vee attempts to coldly trick her into taking the fall for Red's severe beating, as a distraught Suzanne believes she may have done it unconsciously due to her violent history. During the third season, she is encouraged by the new counselor Berdie Rogers to be more creative, causing her to start writing several science fiction erotic stories that become a hit among the women in the prison. Suzanne reveals that she has no sexual experience and is completely naïve in regard to sex, having never actually had a girlfriend before, and that the stories are based on other sources. Eventually, the stories make their way to the staff, causing Rogers to get suspended. Meanwhile, Suzanne becomes nervous upon discovering that one of her fans, Maureen Kukudio, is interested in her romantically. Suzanne backs out of a possible sexual encounter, but is later seen forming a close bond with Maureen towards the end of the season."]], "0_corpus": "wikipedia", "1_conv_id": "5c91938153e6442481f259a5f71fb16e", "1_model_name": "text-embedding-3-large", "1_prompt": "suzanne's story orange is the new black", "1_output": [["suzanne's story orange is the new black", "List of Orange Is the New Black characters\n\nWhen Yvonne \"Vee\" Parker enters the prison and forms an African-American gang, Suzanne falls for Vee's charms and maternal influence, being exploited into becoming Vee's \"muscle.\" While zealously loyal to Vee, Suzanne violently beat or threatened any inmates who crossed her, almost acting on command. Later, Vee attempts to coldly trick her into taking the fall for Red's severe beating, as a distraught Suzanne believes she may have done it unconsciously due to her violent history. During the third season, she is encouraged by the new counselor Berdie Rogers to be more creative, causing her to start writing several science fiction erotic stories that become a hit among the women in the prison. Suzanne reveals that she has no sexual experience and is completely naïve in regard to sex, having never actually had a girlfriend before, and that the stories are based on other sources. Eventually, the stories make their way to the staff, causing Rogers to get suspended. Meanwhile, Suzanne becomes nervous upon discovering that one of her fans, Maureen Kukudio, is interested in her romantically. Suzanne backs out of a possible sexual encounter, but is later seen forming a close bond with Maureen towards the end of the season."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722401702.1092, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "73810fc6473f45b88d5f14389ac03786", "0_model_name": "mixedbread-ai/mxbai-embed-large-v1", "0_prompt": "how can I kill a process with a given name", "0_output": [["how can I kill a process with a given name", "Superuser Stackexchange\n\nQ: How do I kill a process by its name in Linux? I have a process with the name bla, and I want to kill it by its name. \nWhen I run ps aux | grep \"bla\", I get 2 entries:\n\n\n*\n\n*process bla and\n\n*blablablab\nHow do I filter it out?\n\nA: Take a look at pkill, if available.\n"]], "0_corpus": "stackexchange", "1_conv_id": "396086233e25494698e106917cc2543f", "1_model_name": "sentence-transformers/all-MiniLM-L6-v2", "1_prompt": "how can I kill a process with a given name", "1_output": [["how can I kill a process with a given name", "Stackoverflow Stackexchange\n\nQ: How to wrap content in html in a Rails helper I want to wrap some content in HTML in a Rails 3 helper so that in my view I can do this:\n<%= rounded_box do-%>\n  <%= raw target.text %>\n<% end -%>\n\nI have a helper method that looks like this:\ndef rounded_box(&block)\n  str = \"<div class='rounded_box'><div class='rounded_box_content'><div class='rounded_box_top'></div>        \n  str << yield\n  str << \"<div class='rounded_box_bottom'><div></div></div></div>\"\n  raw str\nend\n\nThe way I have it now returns the content properly wrapped in the HTML string, but not before rendering any erb in the rounded_box block (e.g. in this case the target.text is rendered twice, once wrapped, once not).\nIs there a better way to do this? For simplicity, I'd like to avoid using content_tag, but if that's the only/best way I can do that.\n\nA: Call capture on the block instead of yield:\ndef rounded_box(&block)\n  str = \"<div class='rounded_box'><div class='rounded_box_content'><div class='rounded_box_top'></div>\"        \n  str << capture(&block)\n  str << \"<div class='rounded_box_bottom'><div></div></div></div>\"\n  raw str\nend\n\n"]], "1_corpus": "stackexchange"}
+{"tstamp": 1722401718.1951, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "4a67d23ba27d4d9fb5e87f8821a9b459", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "How can I kill a process with a given name?", "0_output": [["How can I kill a process with a given name?", "Serverfault Stackexchange\n\nQ: Kill process by command name I would like to kill a java process based on the command name...\nWhats the best way to do it?\n(i.e. when you do ps -f the name in the CMD column).\n\nA: One way is with killall:\nkillall - kill processes by name\n\n"]], "0_corpus": "stackexchange", "1_conv_id": "18cc37131f5a435c821714da06d691a8", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "How can I kill a process with a given name?", "1_output": [["How can I kill a process with a given name?", "Stackoverflow Stackexchange\n\nQ: Specify a default empty DataTemplate instead of the default 'ToString()' DataTemplate The default DataTemplate in a wpf application displays the result of the .ToString() method. I'm developing an application where the default DataTemplate should display nothing.\nI've tried: \n<Grid.Resources>\n  <DataTemplate DataType=\"{x:Type System:Object}\">\n   <Grid></Grid>\n  </DataTemplate>\n</Grid.Resources>\n\nBut this doesn't work. Does anyone knows if this is possible without specifiing a specific DataTemplate for every class type in the application?\n\nA: If you are using the MVVM pattern and have an abstract class which all your ViewModel classes derive from, you can use that class instead of System.Object:\n<Grid.Resources>\n    <DataTemplate DataType=\"{x:Type vm:VMBase}\">\n    </DataTemplate>\n</Grid.Resources>\n\n"]], "1_corpus": "stackexchange"}

data/retrieval_individual-81269da8-6dc7-417a-8e0a-245c4a753482.jsonl

@@ -92,3 +92,9 @@
 {"tstamp": 1722392110.8365, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722392110.4204, "finish": 1722392110.8365, "ip": "", "conv_id": "bf554ef594fa42659fa1dc167287f96d", "model_name": "BM25", "prompt": "Paper analyzing the impact of misinformation generated by AI on Open-Domain Question Answering systems", "output": [["Paper analyzing the impact of misinformation generated by AI on Open-Domain Question Answering systems", "Title: Attacking Open-domain Question Answering by Injecting Misinformation\n\nAbstract: With a rise in false, inaccurate, and misleading information in propaganda, news, and social media, real-world Question Answering (QA) systems face the challenges of synthesizing and reasoning over misinformation-polluted contexts to derive correct answers. This urgency gives rise to the need to make QA systems robust to misinformation, a topic previously unexplored. We study the risk of misinformation to QA models by investigating the sensitivity of open-domain QA models to corpus pollution with misinformation documents. We curate both human-written and model-generated false documents that we inject into the evidence corpus of QA models and assess the impact on the performance of these systems. Experiments show that QA models are vulnerable to even small amounts of evidence contamination brought by misinformation, with large absolute performance drops on all models. Misinformation attack brings more threat when fake documents are produced at scale by neural models or the attacker targets hacking specific questions of interest. To defend against such a threat, we discuss the necessity of building a misinformation-aware QA system that integrates question-answering and misinformation detection in a joint fashion."]], "corpus": "arxiv"}
 {"tstamp": 1722392126.1896, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722392125.597, "finish": 1722392126.1896, "ip": "", "conv_id": "13b3a212dd6045c5980c9c53a8030a19", "model_name": "voyage-multilingual-2", "prompt": "suzanne's story orange is the new black", "output": [["suzanne's story orange is the new black", "List of Orange Is the New Black characters\n\nWhen Yvonne \"Vee\" Parker enters the prison and forms an African-American gang, Suzanne falls for Vee's charms and maternal influence, being exploited into becoming Vee's \"muscle.\" While zealously loyal to Vee, Suzanne violently beat or threatened any inmates who crossed her, almost acting on command. Later, Vee attempts to coldly trick her into taking the fall for Red's severe beating, as a distraught Suzanne believes she may have done it unconsciously due to her violent history. During the third season, she is encouraged by the new counselor Berdie Rogers to be more creative, causing her to start writing several science fiction erotic stories that become a hit among the women in the prison. Suzanne reveals that she has no sexual experience and is completely naïve in regard to sex, having never actually had a girlfriend before, and that the stories are based on other sources. Eventually, the stories make their way to the staff, causing Rogers to get suspended. Meanwhile, Suzanne becomes nervous upon discovering that one of her fans, Maureen Kukudio, is interested in her romantically. Suzanne backs out of a possible sexual encounter, but is later seen forming a close bond with Maureen towards the end of the season."]], "corpus": "wikipedia"}
 {"tstamp": 1722392126.1896, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722392125.597, "finish": 1722392126.1896, "ip": "", "conv_id": "5c91938153e6442481f259a5f71fb16e", "model_name": "text-embedding-3-large", "prompt": "suzanne's story orange is the new black", "output": [["suzanne's story orange is the new black", "List of Orange Is the New Black characters\n\nWhen Yvonne \"Vee\" Parker enters the prison and forms an African-American gang, Suzanne falls for Vee's charms and maternal influence, being exploited into becoming Vee's \"muscle.\" While zealously loyal to Vee, Suzanne violently beat or threatened any inmates who crossed her, almost acting on command. Later, Vee attempts to coldly trick her into taking the fall for Red's severe beating, as a distraught Suzanne believes she may have done it unconsciously due to her violent history. During the third season, she is encouraged by the new counselor Berdie Rogers to be more creative, causing her to start writing several science fiction erotic stories that become a hit among the women in the prison. Suzanne reveals that she has no sexual experience and is completely naïve in regard to sex, having never actually had a girlfriend before, and that the stories are based on other sources. Eventually, the stories make their way to the staff, causing Rogers to get suspended. Meanwhile, Suzanne becomes nervous upon discovering that one of her fans, Maureen Kukudio, is interested in her romantically. Suzanne backs out of a possible sexual encounter, but is later seen forming a close bond with Maureen towards the end of the season."]], "corpus": "wikipedia"}
+{"tstamp": 1722401695.9394, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722401695.6978, "finish": 1722401695.9394, "ip": "", "conv_id": "73810fc6473f45b88d5f14389ac03786", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "how can I kill a process with a given name", "output": [["how can I kill a process with a given name", "Superuser Stackexchange\n\nQ: How do I kill a process by its name in Linux? I have a process with the name bla, and I want to kill it by its name. \nWhen I run ps aux | grep \"bla\", I get 2 entries:\n\n\n*\n\n*process bla and\n\n*blablablab\nHow do I filter it out?\n\nA: Take a look at pkill, if available.\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722401695.9394, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722401695.6978, "finish": 1722401695.9394, "ip": "", "conv_id": "396086233e25494698e106917cc2543f", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "how can I kill a process with a given name", "output": [["how can I kill a process with a given name", "Stackoverflow Stackexchange\n\nQ: How to wrap content in html in a Rails helper I want to wrap some content in HTML in a Rails 3 helper so that in my view I can do this:\n<%= rounded_box do-%>\n  <%= raw target.text %>\n<% end -%>\n\nI have a helper method that looks like this:\ndef rounded_box(&block)\n  str = \"<div class='rounded_box'><div class='rounded_box_content'><div class='rounded_box_top'></div>        \n  str << yield\n  str << \"<div class='rounded_box_bottom'><div></div></div></div>\"\n  raw str\nend\n\nThe way I have it now returns the content properly wrapped in the HTML string, but not before rendering any erb in the rounded_box block (e.g. in this case the target.text is rendered twice, once wrapped, once not).\nIs there a better way to do this? For simplicity, I'd like to avoid using content_tag, but if that's the only/best way I can do that.\n\nA: Call capture on the block instead of yield:\ndef rounded_box(&block)\n  str = \"<div class='rounded_box'><div class='rounded_box_content'><div class='rounded_box_top'></div>\"        \n  str << capture(&block)\n  str << \"<div class='rounded_box_bottom'><div></div></div></div>\"\n  raw str\nend\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722401713.0344, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722401712.7803, "finish": 1722401713.0344, "ip": "", "conv_id": "4a67d23ba27d4d9fb5e87f8821a9b459", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "How can I kill a process with a given name?", "output": [["How can I kill a process with a given name?", "Serverfault Stackexchange\n\nQ: Kill process by command name I would like to kill a java process based on the command name...\nWhats the best way to do it?\n(i.e. when you do ps -f the name in the CMD column).\n\nA: One way is with killall:\nkillall - kill processes by name\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722401713.0344, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722401712.7803, "finish": 1722401713.0344, "ip": "", "conv_id": "18cc37131f5a435c821714da06d691a8", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "How can I kill a process with a given name?", "output": [["How can I kill a process with a given name?", "Stackoverflow Stackexchange\n\nQ: Specify a default empty DataTemplate instead of the default 'ToString()' DataTemplate The default DataTemplate in a wpf application displays the result of the .ToString() method. I'm developing an application where the default DataTemplate should display nothing.\nI've tried: \n<Grid.Resources>\n  <DataTemplate DataType=\"{x:Type System:Object}\">\n   <Grid></Grid>\n  </DataTemplate>\n</Grid.Resources>\n\nBut this doesn't work. Does anyone knows if this is possible without specifiing a specific DataTemplate for every class type in the application?\n\nA: If you are using the MVVM pattern and have an abstract class which all your ViewModel classes derive from, you can use that class instead of System.Object:\n<Grid.Resources>\n    <DataTemplate DataType=\"{x:Type vm:VMBase}\">\n    </DataTemplate>\n</Grid.Resources>\n\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722401749.9604, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722401749.835, "finish": 1722401749.9604, "ip": "", "conv_id": "87584ce5765148af9587069b47183ee5", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "state space models transformers", "output": [["state space models transformers", "Title: Phonon Assisted Multimagnon Optical Absorption and Long Lived Two-Magnon States in Undoped Lamellar Copper Oxides\n\nAbstract: We calculate the effective charge for multimagnon infrared (IR) absorption assisted by phonons in the parent insulating compounds of cuprate superconductors and the spectra for two-magnon absorption using interacting spin-wave theory. Recent measured bands in the mid IR [Perkins et al. Phys. Rev. Lett. {\\bf 71} 1621 (1993)] are interpreted as involving one phonon plus a two-magnon virtual bound state, and one phonon plus higher multimagnon absorption processes. The virtual bound state consists of a narrow resonance occurring when the magnon pair has total momentum close to $(\\pi,0)$."]], "corpus": "arxiv"}
+{"tstamp": 1722401749.9604, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722401749.835, "finish": 1722401749.9604, "ip": "", "conv_id": "476c6bc225554409822438eb737cb20a", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "state space models transformers", "output": [["state space models transformers", "Title: Active Clustering with Model-Based Uncertainty Reduction\n\nAbstract: Semi-supervised clustering seeks to augment traditional clustering methods by incorporating side information provided via human expertise in order to increase the semantic meaningfulness of the resulting clusters. However, most current methods are \\emph{passive} in the sense that the side information is provided beforehand and selected randomly. This may require a large number of constraints, some of which could be redundant, unnecessary, or even detrimental to the clustering results. Thus in order to scale such semi-supervised algorithms to larger problems it is desirable to pursue an \\emph{active} clustering method---i.e. an algorithm that maximizes the effectiveness of the available human labor by only requesting human input where it will have the greatest impact. Here, we propose a novel online framework for active semi-supervised spectral clustering that selects pairwise constraints as clustering proceeds, based on the principle of uncertainty reduction. Using a first-order Taylor expansion, we decompose the expected uncertainty reduction problem into a gradient and a step-scale, computed via an application of matrix perturbation theory and cluster-assignment entropy, respectively. The resulting model is used to estimate the uncertainty reduction potential of each sample in the dataset. We then present the human user with pairwise queries with respect to only the best candidate sample. We evaluate our method using three different image datasets (faces, leaves and dogs), a set of common UCI machine learning datasets and a gene dataset. The results validate our decomposition formulation and show that our method is consistently superior to existing state-of-the-art techniques, as well as being robust to noise and to unknown numbers of clusters."]], "corpus": "arxiv"}