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 51–100 of 10817 papers

TitleStatusHype
TextMonkey: An OCR-Free Large Multimodal Model for Understanding DocumentCode5
MEIA: Multimodal Embodied Perception and Interaction in Unknown EnvironmentsCode5
RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalCode5
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in MedicineCode5
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondCode5
Tree of Thoughts: Deliberate Problem Solving with Large Language ModelsCode5
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data GenerationCode4
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningCode4
Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal LearningCode4
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language ModelCode4
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action ModelCode4
Retrieval-Augmented Generation with Hierarchical KnowledgeCode4
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsCode4
SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language ModelsCode4
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video UnderstandingCode4
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and ReasoningCode4
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesCode4
EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network OperationsCode4
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QACode4
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up QuestionsCode4
The Llama 3 Herd of ModelsCode4
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language AnnotationsCode4
A Survey on Vision-Language-Action Models for Embodied AICode4
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningCode4
MovieChat+: Question-aware Sparse Memory for Long Video Question AnsweringCode4
Sailor: Open Language Models for South-East AsiaCode4
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical TextCode4
Quiet-STaR: Language Models Can Teach Themselves to Think Before SpeakingCode4
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task AdaptationCode4
Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question AnsweringCode4
FinBen: A Holistic Financial Benchmark for Large Language ModelsCode4
Benchmarking Retrieval-Augmented Generation for MedicineCode4
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLMCode4
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringCode4
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language ModelsCode4
Knowledge Fusion of Large Language ModelsCode4
Mixtral of ExpertsCode4
GPT-4V(ision) is a Generalist Web Agent, if GroundedCode4
MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsCode4
Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionCode4
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language ModelsCode4
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionCode4
Retrieval-Generation Synergy Augmented Large Language ModelsCode4
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in ChineseCode4
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayCode4
AlignScore: Evaluating Factual Consistency with a Unified Alignment FunctionCode4
VideoChat: Chat-Centric Video UnderstandingCode4
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-ShotCode4
Holistic Evaluation of Language ModelsCode4
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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