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 6351–6400 of 10817 papers

TitleStatusHype
A survey on phrase structure learning methods for text classification—0
Multicalibration for Confidence Scoring in LLMs—0
Miutsu: NTU's TaskBot for the Alexa Prize—0
MIVC: Multiple Instance Visual Component for Visual-Language Models—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Mixed Membership Markov Models for Unsupervised Conversation Modeling—0
Challenges in Explanation Quality Evaluation—0
How much should you ask? On the question structure in QA systems—0
How much should you ask? On the question structure in QA systems.—0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
MixKMeans: Clustering Question-Answer Archives—0
A Survey on non-English Question Answering Dataset—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes—0
Multi Document Reading Comprehension—0
Multi-grained Attention with Object-level Grounding for Visual Question Answering—0
A Survey on Neural Open Information Extraction: Current Status and Future Directions—0
How Much Can CLIP Benefit Vision-and-Language Tasks?—0
Getting MoRE out of Mixture of Language Model Reasoning Experts—0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—0
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?—0
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training—0
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering—0
Contextual LSTM (CLSTM) models for Large scale NLP tasks—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
Multi-hop Question Answering—0
A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB\_PRIR at BioASQ 2017 Task 5B—0
M-LLM Based Video Frame Selection for Efficient Video Understanding—0
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning—0
How good are Large Language Models on African Languages?—0
Multi-Agent Embodied Question Answering in Interactive Environments—0
How good are deep models in understanding the generated images?—0
How Generative-AI can be Effectively used in Government Chatbots—0
MLSA --- A Multi-layered Reference Corpus for German Sentiment Analysis—0
MM-AVS: A Full-Scale Dataset for Multi-modal Summarization—0
A Survey on Legal Question Answering Systems—0
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models—0
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders—0
MMED: A Multi-domain and Multi-modality Event Dataset—0
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning—0
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?—0
Contextualized Query Embeddings for Conversational Search—0
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension—0
Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots—0
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants—0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge—0
How do QA models combine knowledge from LM and 100 passages?—0
How do Negation and Modality Impact on Opinions?—0
Show:102550
← PrevPage 128 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