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 2901–2950 of 10817 papers

TitleStatusHype
Answering Science Exam Questions Using Query Rewriting with Background Knowledge—0
Answering Questions Requiring Cross-passage Evidence—0
Breaking Neural Network Scaling Laws with Modularity—0
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi—0
Acquiring Predicate Paraphrases from News Tweets—0
Entity Linking Meets Deep Learning: Techniques and Solutions—0
Entity-Supported Summarization of Biomedical Abstracts—0
Erasure for Advancing: Dynamic Self-Supervised Learning for Commonsense Reasoning—0
Breaking Down Questions for Outside-Knowledge Visual Question Answering—0
Breaking Down Questions for Outside-Knowledge VQA—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
Breaking Character: Are Subwords Good Enough for MRLs After All?—0
Answering Questions from Multiple Documents -- the Role of Multi-Document Summarization—0
Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation—0
Breaking Character: Are Subwords Good Enough for MRLs After All?—0
Breadth First Reasoning Graph for Multi-hop Question Answering—0
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM—0
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models—0
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks—0
Dynamic Retrieval-Augmented Generation—0
BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained Models—0
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent—0
Answering Product-related Questions with Heterogeneous Information—0
BQA: Body Language Question Answering Dataset for Video Large Language Models—0
BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations—0
Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews—0
Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems—0
Bottom-Up Synthesis of Knowledge-Grounded Task-Oriented Dialogues with Iteratively Self-Refined Prompts—0
AAAR-1.0: Assessing AI's Potential to Assist Research—0
Bootstrapping a Romanian Corpus for Medical Named Entity Recognition—0
Boosting the creation of a treebank—0
Agent Smith: Teaching Question Answering to Jill Watson—0
ENTER: Event Based Interpretable Reasoning for VideoQA—0
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering—0
Answering List Questions using Web as a corpus—0
Boosting Question Answering by Deep Entity Recognition—0
AgentPS: Agentic Process Supervision for Multi-modal Content Quality Assurance through Multi-round QA—0
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies—0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation—0
Answering Legal Questions by Learning Neural Attentive Text Representation—0
A Corpus to Learn Refer-to-as Relations for Nominals—0
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning—0
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic—0
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations—0
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance—0
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering—0
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data—0
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check—0
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge—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