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 1201–1250 of 10817 papers

TitleStatusHype
Citekit: A Modular Toolkit for Large Language Model Citation GenerationCode1
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-AugmentationCode1
ClarQ: A large-scale and diverse dataset for Clarification Question GenerationCode1
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question AnsweringCode1
Harvesting and Refining Question-Answer Pairs for Unsupervised QACode1
Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question AnsweringCode1
How Does BERT Answer Questions? A Layer-Wise Analysis of Transformer RepresentationsCode1
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question AnsweringCode1
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human PreferencesCode1
ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step VerificationCode1
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot LearnersCode1
At Which Training Stage Does Code Data Help LLMs Reasoning?Code1
Check It Again: Progressive Visual Question Answering via Visual EntailmentCode1
Check It Again:Progressive Visual Question Answering via Visual EntailmentCode1
Attribute First, then Generate: Locally-attributable Grounded Text GenerationCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical ReasoningCode1
AuditWen:An Open-Source Large Language Model for AuditCode1
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table ExpansionCode1
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City SpaceCode1
Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering (Published in Findings of EMNLP 2024)Code1
RARR: Researching and Revising What Language Models Say, Using Language ModelsCode1
Classification-Regression for Chart ComprehensionCode1
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action ModelCode1
Comprehensive Visual Question Answering on Point Clouds through Compositional Scene ManipulationCode1
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
Integrating UMLS Knowledge into Large Language Models for Medical Question AnsweringCode1
A Unified Encoder-Decoder Framework with Entity MemoryCode1
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsCode1
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
Clickbait Spoiling via Question Answering and Passage RetrievalCode1
CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsCode1
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question AnsweringCode1
A Universal Question-Answering Platform for Knowledge GraphsCode1
GRIT: General Robust Image Task BenchmarkCode1
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language ModelsCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetCode1
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task AssistantsCode1
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic ReasoningCode1
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question AnsweringCode1
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationCode1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
CodeQA: A Question Answering Dataset for Source Code ComprehensionCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
ChatGPT: Jack of all trades, master of noneCode1
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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