SOTAVerified

Open-Domain Question Answering

Open-domain question answering is the task of question answering on open-domain datasets such as Wikipedia.

Papers

Showing 351–400 of 494 papers

TitleStatusHype
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference—0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k—0
Efficient Methods for Natural Language Processing: A Survey—0
EfficientQA : a RoBERTa Based Phrase-Indexed Question-Answering System—0
Efficient Retrieval Optimized Multi-task Learning—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning—0
Dynamic Retrieval-Augmented Generation—0
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Evaluation of baseline information retrieval for Polish open-domain Question Answering system—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation—0
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
Focused Hierarchical RNNs for Conditional Sequence Processing—0
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data—0
FriendsQA: Open-Domain Question Answering on TV Show Transcripts—0
From Retrieval to Generation: Comparing Different Approaches—0
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions—0
Get Your Model Puzzled: Introducing Crossword-Solving as a New NLP Benchmark—0
GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking—0
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering—0
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking—0
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering—0
HuRIC: a Human Robot Interaction Corpus—0
Hyperlink-induced Pre-training for Passage Retrieval of Open-domain Question Answering—0
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions—0
Improve Dense Passage Retrieval with Entailment Tuning—0
Improving Biomedical Information Retrieval with Neural Retrievers—0
Improving Conditioning in Context-Aware Sequence to Sequence Models—0
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation—0
Improving Long Text Understanding with Knowledge Distilled from Summarization Model—0
PolQA: Polish Question Answering Dataset—0
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering—0
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
Inferring Binary Relation Schemas for Open Information Extraction—0
Inner Attention based Recurrent Neural Networks for Answer Selection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1somebodyKILT-RL2.62—Unverified
2WikipediaKILT-RL2.46—Unverified
3arxiv.org/abs/2103.06332KILT-RL2.36—Unverified
4BART + DPRKILT-RL1.9—Unverified
5RAGKILT-RL1.69—Unverified
6Training Set Retrieval (top 1)KILT-RL0—Unverified
7T5-baseKILT-RL0—Unverified
8Input CopyingKILT-RL0—Unverified
9SphereKILT-RL0—Unverified
10Random Training Set AnswerKILT-RL0—Unverified
#ModelMetricClaimedVerifiedStatus
1Re2GKILT-EM43.56—Unverified
2intersectKILT-EM38.78—Unverified
3KGI_0KILT-EM36.36—Unverified
4WikipediaKILT-EM35.32—Unverified
5RAGKILT-EM32.69—Unverified
6BERT + DPRKILT-EM31.99—Unverified
7BART + DPRKILT-EM30.06—Unverified
8Multitask DPR + BARTKILT-EM29.09—Unverified
9Multi-task DPRKILT-EM0—Unverified
10SphereKILT-EM0—Unverified
#ModelMetricClaimedVerifiedStatus
1Re2GKILT-EM57.91—Unverified
2intersectKILT-EM50.56—Unverified
3WikipediaKILT-EM45.55—Unverified
4KGI_0KILT-EM42.85—Unverified
5Multitask DPR + BARTKILT-EM42.36—Unverified
6RAGKILT-EM38.13—Unverified
7BERT + DPRKILT-EM34.48—Unverified
8BART + DPRKILT-EM31.4—Unverified
9TABiKILT-EM0—Unverified
10T5-baseKILT-EM0—Unverified
#ModelMetricClaimedVerifiedStatus
1intersectKILT-EM18.06—Unverified
2WikipediaKILT-EM11.71—Unverified
3Multitask DPR + BARTKILT-EM9.53—Unverified
4RAGKILT-EM3.21—Unverified
5BART + DPRKILT-EM1.96—Unverified
6BERT + DPRKILT-EM0.74—Unverified
7SphereKILT-EM0—Unverified
8Multi-task DPRKILT-EM0—Unverified
9GENREKILT-EM0—Unverified
10chriskueiKILT-EM0—Unverified
#ModelMetricClaimedVerifiedStatus
1SpanBERTF184.8—Unverified
2Cluster-Former (#C=512)EM68—Unverified
3Locality-Sensitive HashingEM66—Unverified
4Multi-passage BERTEM65.1—Unverified
5Sparse AttentionEM64.7—Unverified
6DECAPROPEM62.2—Unverified
7Bi-Attention + DCU-LSTMN-gram F159.5—Unverified
8Denoising QAEM58.8—Unverified
9DecaPropEM56.8—Unverified
10AMANDAN-gram F156.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Fourier TransformerRouge-L26.9—Unverified
2QGRouge-L26.4—Unverified
3BARTRouge-L24.3—Unverified
4E-MCARouge-L24—Unverified
5Transformer Multitask + LayerDropRouge-L23.4—Unverified
6Multi-InrerleaveRouge-L14.63—Unverified
#ModelMetricClaimedVerifiedStatus
1Evidence Aggregation via R^3 Re-RankingEM (Quasar-T)42.3—Unverified
2Denoising QAEM (Quasar-T)42.2—Unverified
3DecaPropEM (Quasar-T)38.6—Unverified
4R^3EM (Quasar-T)35.3—Unverified
5GAEM (Quasar-T)26.4—Unverified
6BiDAFEM (Quasar-T)25.9—Unverified
#ModelMetricClaimedVerifiedStatus
1FiEExact Match58.4—Unverified
2R2-D2 HN-DPRExact Match55.9—Unverified
3UniK-QAExact Match54.9—Unverified
4UnitedQA (Hybrid)Exact Match54.7—Unverified
5BPR (linear scan; l=1000)Exact Match41.6—Unverified
#ModelMetricClaimedVerifiedStatus
1SPARTAEM59.3—Unverified
2Blended RAGEM57.63—Unverified
3BERTseriniEM50.2—Unverified
4BERTseriniEM38.6—Unverified
#ModelMetricClaimedVerifiedStatus
1UniK-QAExact Match57.7—Unverified
2FiE+PAQExact Match56.3—Unverified
3FiEExact Match52.4—Unverified
4EMDR2Exact Match48.7—Unverified
#ModelMetricClaimedVerifiedStatus
1DrQAEM70—Unverified
2DCNEM66.2—Unverified
3MPCMEM65.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ERNIE 2.0 LargeEM64.2—Unverified
2ERNIE 2.0 BaseEM61.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UniK-QAExact Match65.5—Unverified
2BPR (linear scan; l=1000)Exact Match56.8—Unverified
#ModelMetricClaimedVerifiedStatus
1EMDR2Exact Match52.5—Unverified
#ModelMetricClaimedVerifiedStatus
1UnitedQA (Hybrid)Exact Match70.5—Unverified