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 351–375 of 10817 papers

TitleStatusHype
GOFA: A Generative One-For-All Model for Joint Graph Language ModelingCode2
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AICode2
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical ModalitiesCode2
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AICode2
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended TasksCode2
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical TasksCode2
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational AlgebraCode2
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsCode2
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsCode2
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual QuestionsCode2
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A SurveyCode2
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
Learning to Filter Context for Retrieval-Augmented GenerationCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question AnsweringCode2
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language ModelsCode2
LinkBERT: Pretraining Language Models with Document LinksCode2
Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question AnsweringCode2
AGILE: A Novel Reinforcement Learning Framework of LLM AgentsCode2
Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMsCode2
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
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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