SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 8301–8350 of 10817 papers

TitleStatusHype
Generating Fact Checking Briefs—0
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis—0
SAIL: Search-Augmented Instruction Learning—0
SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation—0
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering—0
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence—0
Generating Extractive Summaries of Scientific Paradigms—0
Rhetorical relations markers in Russian RST Treebank—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Combining Impression Feature Representation for Multi-turn Conversational Question Answering—0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding—0
``Look, some Green Circles!'': Learning to Quantify from Images—0
Generating Dialogue Agents via Automated Planning—0
Rewriting Conversational Utterances with Instructed Large Language Models—0
Combining Heterogeneous Models for Measuring Relational Similarity—0
S2LPP: Small-to-Large Prompt Prediction across LLMs—0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
Right-truncatable Neural Word Embeddings—0
RikiNet: Reading Wikipedia Pages for Natural Question Answering—0
Ripple Down Rules for Question Answering—0
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling—0
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data—0
Risks and NLP Design: A Case Study on Procedural Document QA—0
RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning—0
Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances—0
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm—0
RL-CSDia: Representation Learning of Computer Science Diagrams—0
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest—0
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases—0
Generating clickbait spoilers with an ensemble of large language models—0
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering—0
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images—0
Generating Answering Patterns from Factoid Arabic Questions—0
Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets—0
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization—0
Generating Natural Questions from Images for Multimodal Assistants—0
Robust Computational Semantics—0
Robust Computer Algebra, Theorem Proving, and Oracle AI—0
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts—0
Generating Rationales in Visual Question Answering—0
Robust Domain Adaptation for Relation Extraction via Clustering Consistency—0
Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs—0
Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions—0
Robustifying Multi-hop QA through Pseudo-Evidentiality Training—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Robust Machine Comprehension Models via Adversarial Training—0
Revisiting the Superficial Alignment Hypothesis—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified