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 6551–6600 of 10817 papers

TitleStatusHype
MUCS@TechDOfication using FineTuned Vectors and n-grams—0
A Neural Network for Factoid Question Answering over Paragraphs—0
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA—0
Large Language Model Driven Recommendation—0
Large Language Model Benchmarks in Medical Tasks—0
Large Language Model Agent for Modular Task Execution in Drug Discovery—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
LAPDoc: Layout-Aware Prompting for Documents—0
Detecting Subevent Structure for Event Coreference Resolution—0
Detecting Spammers in Community Question Answering—0
Multi-agent query reformulation: Challenges and the role of diversity—0
Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering—0
Detecting Semantically Equivalent Questions in Online User Forums—0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
Language Models with Rationality—0
Language Models sounds the Death Knell of Knowledge Graphs—0
Language Models Benefit from Preparation with Elicited Knowledge—0
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes—0
Detecting Bot-Answerable Questions in Ubuntu Chat—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
Multi-Document Financial Question Answering using LLMs—0
Multi Document Reading Comprehension—0
Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge—0
A Neural Method for Goal-Oriented Dialog Systems to interact with Named Entities—0
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection—0
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling—0
Multifaceted Improvements for Conversational Open-Domain Question Answering—0
Multi-Fact Correction in Abstractive Text Summarization—0
Multi-Field Structural Decomposition for Question Answering—0
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering—0
Language Models as Fact Checkers?—0
Multi-grained Attention with Object-level Grounding for Visual Question Answering—0
MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity—0
Detecting and Resolving Shell Nouns in German—0
Language Models as a Knowledge Source for Cognitive Agents—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
A neural document language modeling framework for spoken document retrieval—0
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering—0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering—0
Language Model Pre-training for Hierarchical Document Representations—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
Language Model is All You Need: Natural Language Understanding as Question Answering—0
Language Model-Guided Knowledge Subgraphs for Question Answering—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—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