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 3051–3100 of 10817 papers

TitleStatusHype
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
Biomedical Entity Linking with Triple-aware Pre-Training—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
Evaluation of Review Summaries via Question-Answering—0
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues—0
EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Easy Questions First? A Case Study on Curriculum Learning for Question Answering—0
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
Biomedical Document Retrieval for Clinical Decision Support System—0
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions—0
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering—0
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering—0
Biomedical/Clinical NLP—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes—0
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine—0
EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity—0
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications—0
ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task—0
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements—0
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures—0
ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter—0
ECNU: Using Multiple Sources of CQA-based Information for Answers Selection and YES/NO Response Inference—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
BioTABQA: Instruction Learning for Biomedical Table Question Answering—0
Evaluation Paradigms in Question Answering—0
EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR—0
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods—0
Evaluation of Dataset Selection for Pre-Training and Fine-Tuning Transformer Language Models for Clinical Question Answering—0
Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
Answer Generation for Retrieval-based Question Answering Systems—0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph—0
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering—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