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 2901–2925 of 10817 papers

TitleStatusHype
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering—0
GlossGPT: GPT for Word Sense Disambiguation using Few-shot Chain-of-Thought PromptingCode0
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringCode0
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos—0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language ModelsCode0
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
M-LLM Based Video Frame Selection for Efficient Video Understanding—0
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios—0
Protecting multimodal large language models against misleading visualizationsCode0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
Few-Shot Multilingual Open-Domain QA from 5 ExamplesCode0
From Retrieval to Generation: Comparing Different Approaches—0
MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering—0
Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents—0
END: Early Noise Dropping for Efficient and Effective Context Denoising—0
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement—0
Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation—0
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision—0
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation—0
Tip of the Tongue Query Elicitation for Simulated EvaluationCode0
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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