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 9851–9900 of 10817 papers

TitleStatusHype
Exploring Models and Data for Image Question AnsweringCode0
Length Optimization in Conformal PredictionCode0
Exploring Language Model Generalization in Low-Resource Extractive QACode0
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited QuestionsCode0
Exploring Contextualized Neural Language Models for Temporal Dependency ParsingCode0
Neural Generative Question AnsweringCode0
Exploiting Sentence-Level Representations for Passage RankingCode0
Exploiting Reasoning Chains for Multi-hop Science Question AnsweringCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Explicit Graph Reasoning Fusing Knowledge and Contextual Information for Multi-hop Question AnsweringCode0
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked DataCode0
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context AttackCode0
CodeRepoQA: A Large-scale Benchmark for Software Engineering Question AnsweringCode0
A Unified Hallucination Mitigation Framework for Large Vision-Language ModelsCode0
Expletives in Universal Dependency TreebanksCode0
Explanation Selection Using Unlabeled Data for Chain-of-Thought PromptingCode0
Neural models for Factual Inconsistency Classification with ExplanationsCode0
A Deep Architecture for Semantic Matching with Multiple Positional Sentence RepresentationsCode0
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete ReasoningCode0
Neural Modular Control for Embodied Question AnsweringCode0
Towards Efficient Methods in Medical Question Answering using Knowledge Graph EmbeddingsCode0
Neural Multi-Step Reasoning for Question Answering on Semi-Structured TablesCode0
Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question LabelingCode0
Question rewriting? Assessing its importance for conversational question answeringCode0
Neural Natural Logic Inference for Interpretable Question AnsweringCode0
Expert Finding in Legal Community Question AnsweringCode0
Expeditious Generation of Knowledge Graph EmbeddingsCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Leveraging Large Language Models in Code Question Answering: Baselines and IssuesCode0
Preference-based Learning with Retrieval Augmented Generation for Conversational Question AnsweringCode0
Leveraging LLMs in Scholarly Knowledge Graph Question AnsweringCode0
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question AnsweringCode0
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement LearningCode0
A Quantum Many-body Wave Function Inspired Language Modeling ApproachCode0
Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language ModelCode0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning ApproachCode0
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and ModelsCode0
CODAH: An Adversarially-Authored Question Answering Dataset for Common SenseCode0
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with IntersectionCode0
Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringCode0
Leveraging Structured Information for Explainable Multi-hop Question Answering and ReasoningCode0
Re-Initialization Token Learning for Tool-Augmented Large Language ModelsCode0
Addressing Overprescribing Challenges: Fine-Tuning Large Language Models for Medication Recommendation TasksCode0
Pre-trained Language Model for Biomedical Question AnsweringCode0
AQUALLM: Audio Question Answering Data Generation Using Large Language ModelsCode0
Pretrained Transformers for Simple Question Answering over Knowledge GraphsCode0
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering PlatformsCode0
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person ViewCode0
Neural Semantic EncodersCode0
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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