{"total":16,"rows":[{"id":"2101.00133","title":"NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned","created":"2021-01-01","cited_by_count":52,"area":null},{"id":"2101.00178","title":"UnitedQA: A Hybrid Approach for Open Domain Question Answering","created":"2021-01-01","cited_by_count":42,"area":null},{"id":"2109.03502","title":"R2-D2: A Modular Baseline for Open-Domain Question Answering","created":"2021-09-08","cited_by_count":37,"area":null},{"id":"2110.08417","title":"Open Domain Question Answering with A Unified Knowledge Interface","created":"2021-10-16","cited_by_count":32,"area":null},{"id":"2111.01026","title":"Introspective Distillation for Robust Question Answering","created":"2021-11-01","cited_by_count":25,"area":null},{"id":"2109.03423","title":"It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books","created":"2021-09-08","cited_by_count":23,"area":null},{"id":"2109.04673","title":"DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization","created":"2021-09-10","cited_by_count":21,"area":null},{"id":"2106.03826","title":"Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study","created":"2021-06-07","cited_by_count":16,"area":null},{"id":"2201.05088","title":"Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation","created":"2022-01-13","cited_by_count":16,"area":null},{"id":"2105.04241","title":"ReadTwice: Reading Very Large Documents with Memories","created":"2021-05-10","cited_by_count":14,"area":null},{"id":"2102.10697","title":"Pruning the Index Contents for Memory Efficient Open-Domain QA","created":"2021-02-21","cited_by_count":6,"area":null},{"id":"2110.04889","title":"Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation","created":"2021-10-10","cited_by_count":5,"area":null},{"id":"2211.10147","title":"FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering","created":"2022-11-18","cited_by_count":5,"area":null},{"id":"2210.02223","title":"CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations","created":"2022-10-05","cited_by_count":4,"area":null},{"id":"2408.06333","title":"FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection","created":"2024-08-12","cited_by_count":2,"area":null},{"id":"2207.08943","title":"MRCLens: an MRC Dataset Bias Detection Toolkit","created":"2022-07-18","cited_by_count":0,"area":null}],"next_cursor":null}