{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/multiple-choice/papers/10","list_of":"/task/multiple-choice","task":"Multiple-choice","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":10,"pages_in_order":12,"rows_per_page":100,"rows":[901,1000],"of":1107,"counts":{"archive_papers_tagged":1107,"with_a_code_link":483,"where_syntology_ran_a_sample":161,"not_listed_spam_title":0,"listed":1107,"listed_where_code_ran":161,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":124,"every_run_a_failure_of_syntologys_instrument":37,"listed_with_a_run_with_no_instrument_failure":124,"listed_every_run_a_failure_of_syntologys_instrument":37,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/multiple-choice","prev":"/task/multiple-choice/papers/9","next":"/task/multiple-choice/papers/11","papers":[{"url":null,"slug":"single-turn-debate-does-not-help-humans","title":"Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions","date":"2022-04-11","arxiv_id":"2204.05212","repositories_listed":0,"syntology":null},{"url":null,"slug":"no-task-left-behind-multi-task-learning-of","title":"No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment","date":"2022-04-08","arxiv_id":"2204.14006","repositories_listed":0,"syntology":null},{"url":null,"slug":"clozer-adaptable-data-augmentation-for-cloze","title":"Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension","date":"2022-03-30","arxiv_id":"2203.16027","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-theoretically-grounded-benchmark-for","title":"A Theoretically Grounded Benchmark for Evaluating Machine Commonsense","date":"2022-03-23","arxiv_id":"2203.12184","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-era-intelligent-tutoring-systems-will","title":"A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions","date":"2022-03-03","arxiv_id":"2203.03724","repositories_listed":0,"syntology":null},{"url":null,"slug":"aryl-an-elastic-cluster-scheduler-for-deep","title":"Aryl: An Elastic Cluster Scheduler for Deep Learning","date":"2022-02-16","arxiv_id":"2202.07896","repositories_listed":0,"syntology":null},{"url":"/paper/newskvqa-knowledge-aware-news-video-question","slug":"newskvqa-knowledge-aware-news-video-question","title":"NEWSKVQA: Knowledge-Aware News Video Question Answering","date":"2022-02-08","arxiv_id":"2202.04015","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-mrc-framework-for-semantic-role-labeling-1","title":"An MRC Framework for Semantic Role Labeling","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"answer-uncertainty-and-unanswerability-in","title":"Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"context-guided-triple-matching-for-multiple-1","title":"Context-guided Triple Matching for Multiple Choice Question Answering","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"disaggregating-hops-can-we-guide-a-multi-hop","title":"Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exposing-the-limits-of-video-text-models","title":"Exposing the Limits of Video-Text Models through Contrast Sets","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mixqg-neural-question-generation-with-mixed-1","title":"MixQG: Neural Question Generation with Mixed Answer Types","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/sal-lightning-dataset-search-and-eye-gaze","slug":"sal-lightning-dataset-search-and-eye-gaze","title":"SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search","date":"2022-01-07","arxiv_id":"2201.02339","repositories_listed":0,"syntology":null},{"url":null,"slug":"answering-chinese-elementary-school-social-1","title":"Answering Chinese Elementary School Social Studies Multiple Choice Questions","date":"2021-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deepqr-neural-based-quality-ratings-for","title":"DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions","date":"2021-11-19","arxiv_id":"2111.10058","repositories_listed":0,"syntology":null},{"url":null,"slug":"fill-in-the-blank-a-challenging-video","title":"Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-multiple-choice-question","title":"Unsupervised multiple-choice question generation for out-of-domain Q\\&A fine-tuning","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"what-makes-machine-reading-comprehension","title":"What Makes Machine Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types","date":"2021-11-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ai-based-solution-for-enhancing-delivery","title":"An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers","date":"2021-11-09","arxiv_id":"2112.01229","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semantic-feature-wise-transformation","title":"A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-multiple-choice-machine-reading","title":"Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gandalf-a-general-character-name-description","title":"GANDALF: a General Character Name Description Dataset for Long Fiction","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"narrative-embedding-re-contextualization","title":"Narrative Embedding: Re-Contextualization Through Attention","date":"2021-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-reasoning-via-template-filling","title":"Template Filling for Controllable Commonsense Reasoning","date":"2021-10-31","arxiv_id":"2111.00539","repositories_listed":0,"syntology":null},{"url":"/paper/dp-ssl-towards-robust-semi-supervised","slug":"dp-ssl-towards-robust-semi-supervised","title":"DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples","date":"2021-10-26","arxiv_id":"2110.13740","repositories_listed":0,"syntology":null},{"url":null,"slug":"ranking-facts-for-explaining-answers-to","title":"Ranking Facts for Explaining Answers to Elementary Science Questions","date":"2021-10-18","arxiv_id":"2110.09036","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-mixed-precision-quantization-of-1","title":"Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization","date":"2021-10-13","arxiv_id":"2110.06554","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysing-the-effect-of-masking-length","title":"Analysing the Effect of Masking Length Distribution of MLM: An Evaluation Framework and Case Study on Chinese MRC Datasets","date":"2021-09-29","arxiv_id":"2110.15712","repositories_listed":0,"syntology":null},{"url":null,"slug":"transliteration-a-simple-technique-for","title":"Transliteration: A Simple Technique For Improving Multilingual Language Modeling","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"context-guided-triple-matching-for-multiple","title":"Context-guided Triple Matching for Multiple Choice Question Answering","date":"2021-09-27","arxiv_id":"2109.12996","repositories_listed":0,"syntology":null},{"url":"/paper/birdqa-a-bilingual-dataset-for-question","slug":"birdqa-a-bilingual-dataset-for-question","title":"BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles","date":"2021-09-23","arxiv_id":"2109.11087","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-add-on-for-empowering-google-forms-to-be","title":"An Add-On for Empowering Google Forms to be an Automatic Question Generator in Online Assessments","date":"2021-09-21","arxiv_id":"2110.15220","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-algorithm-for-generating-gap-fill-multiple","title":"An Algorithm for Generating Gap-Fill Multiple Choice Questions of an Expert System","date":"2021-09-17","arxiv_id":"2109.11421","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-makes-reading-comprehension-questions-1","title":"What Makes Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types","date":"2021-09-17","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"paragraph-similarity-matches-for-generating","title":"Paragraph Similarity Matches for Generating Multiple-choice Test Items","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mediaqa-a-question-answering-dataset-on","title":"MeDiaQA: A Question Answering Dataset on Medical Dialogues","date":"2021-08-18","arxiv_id":"2108.08074","repositories_listed":0,"syntology":null},{"url":null,"slug":"e-commerce-promotions-personalization-via","title":"E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling","date":"2021-08-11","arxiv_id":"2108.13298","repositories_listed":0,"syntology":null},{"url":null,"slug":"mounting-video-metadata-on-transformer-based","title":"Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering","date":"2021-08-11","arxiv_id":"2108.05158","repositories_listed":0,"syntology":null},{"url":null,"slug":"auxiliary-class-based-multiple-choice","title":"Auxiliary Class Based Multiple Choice Learning","date":"2021-08-06","arxiv_id":"2108.02949","repositories_listed":0,"syntology":null},{"url":null,"slug":"ta-mamc-at-semeval-2021-task-4-task-adaptive","title":"TA-MAMC at SemEval-2021 Task 4: Task-adaptive Pretraining and Multi-head Attention for Abstract Meaning Reading Comprehension","date":"2021-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mcl-gan-generative-adversarial-networks-with","title":"MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators","date":"2021-07-15","arxiv_id":"2107.07260","repositories_listed":0,"syntology":null},{"url":null,"slug":"medgpt-medical-concept-prediction-from","title":"MedGPT: Medical Concept Prediction from Clinical Narratives","date":"2021-07-07","arxiv_id":"2107.03134","repositories_listed":0,"syntology":null},{"url":null,"slug":"answering-chinese-elementary-school-social","title":"Answering Chinese Elementary School Social Study Multiple Choice Questions","date":"2021-06-26","arxiv_id":"2107.02893","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-training-for-machine-reading","title":"Adversarial Training for Machine Reading Comprehension with Virtual Embeddings","date":"2021-06-08","arxiv_id":"2106.04437","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-multiple-choice-question-answering","title":"Enhancing Multiple-Choice Question Answering with Causal Knowledge","date":"2021-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"looking-beyond-sentence-level-natural-1","title":"Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization","date":"2021-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-sentence-clustering-in","title":"Deep learning for sentence clustering in essay grading support","date":"2021-04-23","arxiv_id":"2104.11556","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-study-of-learning-outcomes-for","title":"Comparative Study of Learning Outcomes for Online Learning Platforms","date":"2021-04-15","arxiv_id":"2104.07763","repositories_listed":0,"syntology":null},{"url":null,"slug":"identification-of-mental-fatigue-in-language","title":"Identification of mental fatigue in language comprehension tasks based on EEG and deep learning","date":"2021-04-14","arxiv_id":"2104.08337","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-application-of-transformers-for","title":"On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text","date":"2021-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"you-can-do-better-if-you-elaborate-the-reason","title":"You Can Do Better! If You Elaborate the Reason When Making Prediction","date":"2021-03-27","arxiv_id":"2103.14919","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-automated-multiple-choice-question","title":"An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques","date":"2021-03-26","arxiv_id":"2103.14757","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-word-level-language-model-with","title":"Learning a Word-Level Language Model with Sentence-Level Noise Contrastive Estimation for Contextual Sentence Probability Estimation","date":"2021-03-14","arxiv_id":"2103.07875","repositories_listed":0,"syntology":null},{"url":null,"slug":"iie-nlp-eyas-at-semeval-2021-task-4-enhancing","title":"IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation","date":"2021-02-25","arxiv_id":"2102.12777","repositories_listed":0,"syntology":null},{"url":null,"slug":"confidence-aware-learning-assistant","title":"Confidence-Aware Learning Assistant","date":"2021-02-15","arxiv_id":"2102.07312","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistically-profiling-biases-in-natural","title":"Statistically Profiling Biases in Natural Language Reasoning Datasets and Models","date":"2021-02-09","arxiv_id":"2102.04632","repositories_listed":0,"syntology":null},{"url":"/paper/think-you-have-solved-direct-answer-question","slug":"think-you-have-solved-direct-answer-question","title":"Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge","date":"2021-02-05","arxiv_id":"2102.03315","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-teaching-machines-to-read-and-comprehend","title":"Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data","date":"2021-02-01","arxiv_id":"2102.01226","repositories_listed":0,"syntology":null},{"url":null,"slug":"e-cheating-prevention-measures-detection-of","title":"E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study","date":"2021-01-25","arxiv_id":"2101.09841","repositories_listed":0,"syntology":null},{"url":null,"slug":"read-retrospect-select-an-mrc-framework-to","title":"Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking","date":"2021-01-07","arxiv_id":"2101.02394","repositories_listed":0,"syntology":null},{"url":"/paper/riddlesense-answering-riddle-questions-as","slug":"riddlesense-answering-riddle-questions-as","title":"RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge","date":"2021-01-02","arxiv_id":"2101.00376","repositories_listed":0,"syntology":null},{"url":null,"slug":"looking-beyond-short-premise-natural-language","title":"Looking Beyond Short-Premise Natural Language Inference for Downstream Tasks","date":"2020-12-04","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-approach-for-constrained-optimization","title":"A Novel Approach for Constrained Optimization in Graphical Models","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-prediction-of-examinee-proficiency","title":"Automated Prediction of Examinee Proficiency from Short-Answer Questions","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"conversational-assistants-and-gender","title":"Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"designing-templates-for-eliciting-commonsense","title":"Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-tuning-bert-with-focus-words-for","title":"Fine-tuning BERT with Focus Words for Explanation Regeneration","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-data-driven-study-of-commonsense-knowledge","title":"A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base","date":"2020-11-28","arxiv_id":"2011.14084","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-distractor-generation-for-multiple","title":"Automatic Distractor Generation for Multiple Choice Questions in Standard Tests","date":"2020-11-26","arxiv_id":"2011.13100","repositories_listed":0,"syntology":null},{"url":null,"slug":"agent-zero-zero-shot-automatic-multiple","title":"AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments","date":"2020-11-25","arxiv_id":"2012.01186","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-do-we-expect-from-multiple-choice-qa","title":"What do we expect from Multiple-choice QA Systems?","date":"2020-11-20","arxiv_id":"2011.10647","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-fine-tuned-commonsense-language-models","title":"Do Fine-tuned Commonsense Language Models Really Generalize?","date":"2020-11-18","arxiv_id":"2011.09159","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-explanation-generation-for","title":"Unsupervised Explanation Generation for Machine Reading Comprehension","date":"2020-11-13","arxiv_id":"2011.06737","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-building-a-commonsense-inference","title":"A Method for Building a Commonsense Inference Dataset based on Basic Events","date":"2020-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-correct-answers-for-progressive","title":"Generating Correct Answers for Progressive Matrices Intelligence Tests","date":"2020-11-01","arxiv_id":"2011.00496","repositories_listed":0,"syntology":null},{"url":null,"slug":"isaaq-mastering-textbook-questions-with-pre-1","title":"ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention","date":"2020-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"scene-restoring-for-narrative-machine-reading","title":"Scene Restoring for Narrative Machine Reading Comprehension","date":"2020-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"explanationlp-abductive-reasoning-for","title":"ExplanationLP: Abductive Reasoning for Explainable Science Question Answering","date":"2020-10-25","arxiv_id":"2010.13128","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-vqa-generating-multi-word-answer-and","title":"Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions","date":"2020-10-24","arxiv_id":"2010.12852","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentiable-open-ended-commonsense","title":"Differentiable Open-Ended Commonsense Reasoning","date":"2020-10-24","arxiv_id":"2010.14439","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-adequate-distractors-for-multiple","title":"Generating Adequate Distractors for Multiple-Choice Questions","date":"2020-10-23","arxiv_id":"2010.12658","repositories_listed":0,"syntology":null},{"url":null,"slug":"better-distractions-transformer-based","title":"Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering","date":"2020-10-19","arxiv_id":"2010.09598","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-modeling-with-evidence-filter-for","title":"Context Modeling with Evidence Filter for Multiple Choice Question Answering","date":"2020-10-06","arxiv_id":"2010.02649","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-sequence-learning-and-its-applications","title":"Meta Sequence Learning for Generating Adequate Question-Answer Pairs","date":"2020-10-04","arxiv_id":"2010.01620","repositories_listed":0,"syntology":null},{"url":null,"slug":"isaaq-mastering-textbook-questions-with-pre","title":"ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention","date":"2020-10-01","arxiv_id":"2010.00562","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-information-seeking-human-gaze-and","title":"Bridging Information-Seeking Human Gaze and Machine Reading Comprehension","date":"2020-09-30","arxiv_id":"2009.14780","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphite-estimating-individual-effects-of","title":"GraphITE: Estimating Individual Effects of Graph-structured Treatments","date":"2020-09-29","arxiv_id":"2009.14061","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-pre-training-and-contrastive","title":"Self-supervised pre-training and contrastive representation learning for multiple-choice video QA","date":"2020-09-17","arxiv_id":"2009.08043","repositories_listed":0,"syntology":null},{"url":null,"slug":"receptivity-of-an-ai-cognitive-assistant-by","title":"Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA","date":"2020-09-13","arxiv_id":"2009.06082","repositories_listed":0,"syntology":null},{"url":null,"slug":"selective-particle-attention-visual-feature","title":"Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning","date":"2020-08-26","arxiv_id":"2008.11491","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversenet-when-one-right-answer-is-not-1","title":"DiverseNet: When One Right Answer is not Enough","date":"2020-08-24","arxiv_id":"2008.10634","repositories_listed":0,"syntology":null},{"url":null,"slug":"spending-money-wisely-online-electronic","title":"Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection","date":"2020-08-23","arxiv_id":"2008.09982","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-experimental-study-of-deep-neural-network","title":"An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension","date":"2020-08-20","arxiv_id":"2008.08810","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpretable-multi-step-reasoning-with","title":"Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering","date":"2020-08-06","arxiv_id":"2008.02434","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnostic-questions-the-neurips-2020","title":"Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge","date":"2020-07-23","arxiv_id":"2007.12061","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-gives-the-answer-away-question-answering","title":"What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets","date":"2020-07-07","arxiv_id":"2007.03626","repositories_listed":0,"syntology":null},{"url":null,"slug":"lmve-at-semeval-2020-task-4-commonsense","title":"LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model","date":"2020-07-06","arxiv_id":"2007.02540","repositories_listed":0,"syntology":null},{"url":null,"slug":"iie-nlp-nut-at-semeval-2020-task-4-guiding","title":"IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE","date":"2020-07-02","arxiv_id":"2007.00924","repositories_listed":0,"syntology":null},{"url":null,"slug":"distractor-analysis-and-selection-for","title":"Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners","date":"2020-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"e210aadbd3f53042b304f35983b6442ecab5f7ee18352ba27df23b98c918c918","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}