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 4101–4150 of 10817 papers

TitleStatusHype
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient LengthsCode0
Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing—0
KITLM: Domain-Specific Knowledge InTegration into Language Models for Question AnsweringCode1
SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific GraphsCode1
Redundancy-aware Transformer for Video Question Answering—0
TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties—0
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines—0
A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPT—0
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationCode2
Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical DataCode2
Learning to Select the Relevant History Turns in Conversational Question Answering—0
ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior ConstraintsCode2
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open WorldCode2
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact ModelsCode1
RealCQA: Scientific Chart Question Answering as a Test-bed for First-Order LogicCode0
Teaching Smaller Language Models To Generalise To Unseen Compositional QuestionsCode0
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders—0
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step ReasoningCode1
Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent—0
ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understandingCode0
No that's not what I meant: Handling Third Position Repair in Conversational Question AnsweringCode0
AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder—0
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringCode1
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
KoBBQ: Korean Bias Benchmark for Question Answering—0
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—0
Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual SpaceCode1
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science—0
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic ControlCode2
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
Context-VQA: Towards Context-Aware and Purposeful Visual Question AnsweringCode0
Universal Recurrent Event Memories for Streaming Data—0
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering—0
Med-Flamingo: a Multimodal Medical Few-shot LearnerCode2
Towards Generalist Biomedical AI—0
LOIS: Looking Out of Instance Semantics for Visual Question Answering—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
GPT-3 Models are Few-Shot Financial Reasoners—0
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering—0
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions—0
3D-LLM: Injecting the 3D World into Large Language ModelsCode3
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models—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