[ { "dataset": "cola", "type": "task", "origin_acc": 86.1, "origin_prompt": "Is the provided sentence grammatically correct? Respond with 'Acceptable' or 'Unacceptable':", "atk_acc": 30.9, "atk_prompt": "Is the brought chastisement grammatically appropriate? Retaliated with 'Acceptable' or 'Unacceptable':", "transfer_ori_acc": 70.89999999999999, "transfer_atk_acc": 31.900000000000002 }, { "dataset": "cola", "type": "role", "origin_acc": 86.2, "origin_prompt": "As an instrument for grammar evaluation, consider the sentence and determine if its grammar is correct, responding with 'acceptable' for correct grammar or 'unacceptable' for incorrect grammar:", "atk_acc": 33.1, "atk_prompt": "As an instrument for grammar appraisals, considerations the convicting and determine if its verbs is correct, responding with 'acceptable' for proper grammar or 'unacceptable' for misspelled vocabulary:", "transfer_ori_acc": 76.3, "transfer_atk_acc": 72.89999999999999 }, { "dataset": "mrpc", "type": "task", "origin_acc": 86.76, "origin_prompt": "Please analyze the provided sentences and indicate if their meanings are the same by choosing 'equivalent' or 'not_equivalent'.", "atk_acc": 75.98, "atk_prompt": "Asks analysis the conferred priors and specified if their meanings are the same by selecting 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 81.12745098039215, "transfer_atk_acc": 81.12745098039215 }, { "dataset": "mrpc", "type": "role", "origin_acc": 87.99, "origin_prompt": "In your capacity as a language analyst, assess the following sentences and classify their similarity as 'equivalent' or 'not_equivalent'.", "atk_acc": 76.23, "atk_prompt": "At your power as a language psych, assess the later judgements and categories their metaphor as 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 78.18627450980392, "transfer_atk_acc": 78.43137254901961 }, { "dataset": "qnli", "type": "task", "origin_acc": 94.1, "origin_prompt": "Based on the information in the context, decide if the answer to the question is justified by choosing 'entailment' or 'not_entailment'.", "atk_acc": 67.1, "atk_prompt": "Baseline on the detail in the framework, chosen if the answers to the topic is motivated by selector 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 89.4, "transfer_atk_acc": 80.30000000000001 }, { "dataset": "qnli", "type": "role", "origin_acc": 94.2, "origin_prompt": "As a semantic researcher, evaluate whether the provided context supports the answer to the question and choose 'entailment' or 'not_entailment'.", "atk_acc": 52.7, "atk_prompt": "Iike a semantic savant, determine whether the provided framework encourages the rebuttal to the topics and option 'entailment' or 'not_entailment'. ", "transfer_ori_acc": 89.1, "transfer_atk_acc": 87.7 }, { "dataset": "qqp", "type": "task", "origin_acc": 88.3, "origin_prompt": "Do these two sentences convey the same meaning? Indicate with 'equivalent' or 'not_equivalent'.", "atk_acc": 77.6, "atk_prompt": "Doing these two condemning communicate the same feeling? Stating with 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 87.5, "transfer_atk_acc": 83.1 }, { "dataset": "qqp", "type": "role", "origin_acc": 88.5, "origin_prompt": "As a tool for determining question equivalence, review the questions and categorize their similarity as either 'equivalent' or 'not_equivalent'.", "atk_acc": 83.4, "atk_prompt": "As a utility for definition questions equivalence, revising the question and ranks their metaphor as either 'equivalent' or 'not_equivalent'. ", "transfer_ori_acc": 86.5, "transfer_atk_acc": 85.6 }, { "dataset": "rte", "type": "task", "origin_acc": 94.22, "origin_prompt": "Are the following two sentences entailment or not_entailment? Answer me with \"entailment\" or \"not_entailment\", just one word.", "atk_acc": 91.34, "atk_prompt": "Represented the aftermath two phrases entailment or not_entailment? Address me with \"entailment\" or \"not_entailment\", just one verb. ", "transfer_ori_acc": 88.08664259927798, "transfer_atk_acc": 83.39350180505414 }, { "dataset": "rte", "type": "role", "origin_acc": 93.86, "origin_prompt": "In your role as an entailment analysis tool, assess the relationship between the given sentences and classify it as 'entailment' or 'not_entailment':", "atk_acc": 90.61, "atk_prompt": "At your role as an entailment analysis tool, assess the affairs between the given condemnation and classify it as 'entailment' or 'not_entailment':", "transfer_ori_acc": 84.47653429602889, "transfer_atk_acc": 83.39350180505414 }, { "dataset": "sst2", "type": "task", "origin_acc": 96.33, "origin_prompt": "Review this statement and decide whether it has a 'positive' or 'negative' sentiment:", "atk_acc": 94.72, "atk_prompt": "Considering this speech and decide whether it has a 'positive' or 'negative' foreboding: ", "transfer_ori_acc": 95.06880733944955, "transfer_atk_acc": 94.26605504587155 }, { "dataset": "sst2", "type": "role", "origin_acc": 96.33, "origin_prompt": "As a sentiment classifier, determine whether the following text is 'positive' or 'negative'. Please classify:", "atk_acc": 92.89, "atk_prompt": "As a emotion classifier, detects whether the suite texts is 'positive' or 'negative'. Prayers classify: ", "transfer_ori_acc": 94.4954128440367, "transfer_atk_acc": 93.57798165137615 }, { "dataset": "wnli", "type": "task", "origin_acc": 80.28, "origin_prompt": "Assess the connection between the following sentences and classify it as 'entailment' or 'not_entailment'.", "atk_acc": 67.61, "atk_prompt": "Assess the connections between the afterward punishment and classifies it as 'entailment' or 'not_entailment'.", "transfer_ori_acc": 61.97183098591549, "transfer_atk_acc": 61.97183098591549 }, { "dataset": "wnli", "type": "role", "origin_acc": 78.87, "origin_prompt": "In your role as an entailment analysis tool, assess the relationship between the given sentences and classify it as 'entailment' or 'not_entailment':", "atk_acc": 71.83, "atk_prompt": "In your role as an entailment analysis tool, assess the coitus between the given sentencing and classify it as 'entailment' or 'not_entailment':", "transfer_ori_acc": 56.33802816901409, "transfer_atk_acc": 59.154929577464785 }, { "dataset": "mmlu", "type": "task", "origin_acc": 52.84, "origin_prompt": "Evaluate the multiple-choice question about {} and select the most fitting response from 'A', 'B', 'C', or 'D'.", "atk_acc": 32.09, "atk_prompt": "Evaluation the multiple-choice topic about {} and select the most splice rebuttal from 'A', 'B', 'C', or 'D'. ", "transfer_ori_acc": 44.50354609929078, "transfer_atk_acc": 41.843971631205676 }, { "dataset": "mmlu", "type": "role", "origin_acc": 53.19, "origin_prompt": "As a knowledgeable individual in {}, provide your response to the multiple-choice question by choosing 'A', 'B', 'C', or 'D'.", "atk_acc": 39.36, "atk_prompt": "As a knowledgeable everybody in {}, prescribes your rebuttal to the multiple-choice item by chooses 'A', 'B', 'C', or 'D'.", "transfer_ori_acc": 44.50354609929078, "transfer_atk_acc": 42.730496453900706 }, { "dataset": "squad_v2", "type": "task", "origin_acc": 89.99, "origin_prompt": "Find the correct answer in the context provided. If an answer cannot be found, please respond with 'unanswerable'.", "atk_acc": 46.83, "atk_prompt": "Find the correct rebuttal in the context offer. Until an answering cannot be found, please respond with 'unanswerable'.", "transfer_ori_acc": 87.54992770387507, "transfer_atk_acc": 86.58932164326902 }, { "dataset": "squad_v2", "type": "role", "origin_acc": 89.88, "origin_prompt": "As a proficient expert in the given context, search for the most relevant answer. If the answer cannot be found, respond by saying 'unanswerable'.", "atk_acc": 44.5, "atk_prompt": "As a clever whiz in the offered context, find for the most corresponding rebuttal. If the answer cannot exist discovering, answer by claim 'unanswerable'.", "transfer_ori_acc": 88.18023073417811, "transfer_atk_acc": 87.31659437054175 }, { "dataset": "iwslt", "type": "task", "origin_acc": 0.18, "origin_prompt": "In the role of a language expert, perform a machine translation for the provided sentence, changing it from {} to {}:", "atk_acc": 0.14, "atk_prompt": "In the feature of a language expert, perform a typewriters converts for the provided pity, changing it from {} to {}: ", "transfer_ori_acc": 0.14386835828767333, "transfer_atk_acc": 0.1043261414423813 }, { "dataset": "iwslt", "type": "role", "origin_acc": 0, "origin_prompt": "", "atk_acc": 100, "atk_prompt": "", "transfer_ori_acc": 0.03223192659122938, "transfer_atk_acc": 0.03223192659122938 }, { "dataset": "un_multi", "type": "task", "origin_acc": 0.32, "origin_prompt": "Translate the provided sentence from {} to {} while maintaining the original meaning and context:", "atk_acc": 0.25, "atk_prompt": "Translate the provided sentence from {} to {} while protections the original signify and background:", "transfer_ori_acc": 0.2678951646057538, "transfer_atk_acc": 0.23906375713121092 }, { "dataset": "un_multi", "type": "role", "origin_acc": 0.31, "origin_prompt": "In the capacity of a proficient translator, please change the following sentence from {} to {}:", "atk_acc": 0.26, "atk_prompt": "Towards the skills of a proficient performers, please evolving the following denounces from {} to {}: ", "transfer_ori_acc": 0.26592302056033257, "transfer_atk_acc": 0.23053164042025812 }, { "dataset": "math", "type": "task", "origin_acc": 14.37, "origin_prompt": "Determine the solution to this mathematical problem related to {}:", "atk_acc": 0.62, "atk_prompt": "Determine the address to this arithmetic issuing links to {}:", "transfer_ori_acc": 10.625, "transfer_atk_acc": 2.5 }, { "dataset": "math", "type": "role", "origin_acc": 15.0, "origin_prompt": "As a mathematics instructor, calculate the answer to the following problem related to {}:", "atk_acc": 0.62, "atk_prompt": "As a algebra schoolteacher, calculate the address to the following question linking to {}: ", "transfer_ori_acc": 11.875, "transfer_atk_acc": 2.5 } ]