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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6001–6050 of 10817 papers

TitleStatusHype
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models—0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
Learning to Generate Questions by Learning What not to Generate—0
DISLOG: A logic-based language for processing discourse structures—0
Learning to Focus when Ranking Answers—0
Machine Comprehension with Syntax, Frames, and Semantics—0
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases—0
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach—0
Machine Reading Comprehension: Generative or Extractive Reader?—0
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings—0
Machine Translation Evaluation Meets Community Question Answering—0
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables—0
Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers—0
Learning to Disambiguate by Asking Discriminative Questions—0
Learning-to-Defer for Extractive Question Answering—0
Disentangling Online Chats with DAG-Structured LSTMs—0
Learning to Decompose Compound Questions with Reinforcement Learning—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
Learning to Compute Word Embeddings On the Fly—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets—0
Learning to Compose Diversified Prompts for Image Emotion Classification—0
Disease Identification From Unstructured User Input—0
Learning to Collaborate for Question Answering and Asking—0
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training—0
Making Language Models Robust Against Negation—0
Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning—0
Making question answering more robust through relevant context selection—0
Discriminating between Similar Languages with Word-level Convolutional Neural Networks—0
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime—0
Malayalam Clause Boundary Identifier: Annotation and Evaluation—0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
Discrete Cosine Transform as Universal Sentence Encoder—0
Learning to Answer Questions from Wikipedia Infoboxes—0
Learning to Answer Questions From Image Using Convolutional Neural Network—0
Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations—0
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis—0
Learning to answer questions—0
Learning to Answer Multilingual and Code-Mixed Questions—0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds—0
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Learning to Answer Ambiguous Questions with Knowledge Graph—0
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network—0
Show:102550
← PrevPage 121 of 217Next →
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