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 201–225 of 10817 papers

TitleStatusHype
Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMsCode0
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationCode1
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data GenerationCode4
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI AgentsCode1
AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and HealthcareCode0
ExAnte: A Benchmark for Ex-Ante Inference in Large Language ModelsCode0
DoctorAgent-RL: A Multi-Agent Collaborative Reinforcement Learning System for Multi-Turn Clinical DialogueCode2
GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language ModelsCode0
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question AnsweringCode1
It's High Time: A Survey of Temporal Information Retrieval and Question Answering—0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—0
Interleaved Reasoning for Large Language Models via Reinforcement Learning—0
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
S2LPP: Small-to-Large Prompt Prediction across LLMs—0
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs—0
Diagnosing and Mitigating Modality Interference in Multimodal Large Language ModelsCode0
CP-Router: An Uncertainty-Aware Router Between LLM and LRM—0
Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking InsightsCode0
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data SynthesisCode0
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and OpportunitiesCode2
SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback—0
MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga UnderstandingCode1
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering—0
MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question AnsweringCode0
Visualized Text-to-Image RetrievalCode1
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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