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 3351–3400 of 10817 papers

TitleStatusHype
AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM—0
Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring TasksCode0
SEAL: Semantic Attention Learning for Long Video Representation—0
Unlocking Video-LLM via Agent-of-Thoughts Distillation—0
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking—0
Understanding the World's Museums through Vision-Language ReasoningCode0
Mastering Board Games by External and Internal Planning with Language Models—0
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages—0
KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced PromptingCode0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
Improving Vietnamese Legal Document Retrieval using Synthetic Data—0
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
Actions and Objects Pathways for Domain Adaptation in Video Question Answering—0
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA TasksCode0
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training—0
Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs—0
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and TrustworthinessCode0
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic ExtensionCode0
COLD: Causal reasOning in cLosed Daily activitiesCode0
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs—0
DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs—0
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers—0
Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation—0
Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?—0
Active Data Curation Effectively Distills Large-Scale Multimodal Models—0
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?—0
DRS: Deep Question Reformulation With Structured OutputCode0
3D Scene Graph Guided Vision-Language Pre-training—0
GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology ImagesCode0
Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation—0
Task Progressive Curriculum Learning for Robust Visual Question Answering—0
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey—0
Efficient Multi-modal Large Language Models via Visual Token Grouping—0
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis—0
VideoOrion: Tokenizing Object Dynamics in Videos—0
Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering—0
freePruner: A Training-free Approach for Large Multimodal Model Acceleration—0
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset—0
Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ DocumentsCode0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity—0
KBAlign: Efficient Self Adaptation on Specific Knowledge BasesCode0
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective—0
Visual Contexts Clarify Ambiguous Expressions: A Benchmark DatasetCode0
FastRAG: Retrieval Augmented Generation for Semi-structured Data—0
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios—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