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 8851–8900 of 10817 papers

TitleStatusHype
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation—0
Linguistically-Based Deep Unstructured Question Answering—0
Linguistically Driven Graph Capsule Network for Visual Question Reasoning—0
Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit—0
Linguistically Motivated Question Classification—0
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering—0
Linguistic Embeddings as a Common-Sense Knowledge Repository: Challenges and Opportunities—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs—0
LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain—0
Linking, Searching, and Visualizing Entities in Wikipedia—0
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
Listening Comprehension over Argumentative Content—0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
LIST-LUX: Disorder Identification from Clinical Texts—0
ListReader: Extracting List-form Answers for Opinion Questions—0
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing—0
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
Litigation Analytics: Extracting and querying motions and orders from US federal courts—0
LittleBird: Efficient Faster & Longer Transformer for Question Answering—0
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an—0
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation—0
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning—0
LLaSA: Large Language and Structured Data Assistant—0
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learning—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
LLM aided semi-supervision for Extractive Dialog Summarization—0
LLM as A Robotic Brain: Unifying Egocentric Memory and Control—0
LLM-based Discriminative Reasoning for Knowledge Graph Question Answering—0
LLM-based Extraction of Contradictions from Patents—0
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
LLMCad: Fast and Scalable On-device Large Language Model Inference—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge—0
LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering—0
LLM Guided Inductive Inference for Solving Compositional Problems—0
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image—0
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models—0
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction—0
LLMs can be easily Confused by Instructional Distractions—0
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing—0
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs—0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements—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