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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4101–4125 of 10817 papers

TitleStatusHype
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
SEAM: A Stochastic Benchmark for Multi-Document Tasks—0
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception—0
Towards Retrieval Augmented Generation over Large Video Libraries—0
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis—0
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video—0
70B-parameter large language models in Japanese medical question-answering—0
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering—0
Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding—0
Temporal Knowledge Graph Question Answering: A Survey—0
Investigating Mysteries of CoT-Augmented Distillation—0
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering—0
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages—0
Ranking LLMs by compression—0
Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions—0
PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts—0
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMsCode0
Understanding Finetuning for Factual Knowledge Extraction—0
VGA: Vision GUI Assistant -- Minimizing Hallucinations through Image-Centric Fine-TuningCode0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Transferable speech-to-text large language model alignment module—0
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation—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