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 3626–3650 of 10817 papers

TitleStatusHype
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application—0
Rewriting Conversational Utterances with Instructed Large Language Models—0
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision—0
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System—0
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation—0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
Accurate and Regret-aware Numerical Problem Solver for Tabular Question AnsweringCode0
Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference—0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
TVBench: Redesigning Video-Language Evaluation—0
Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial LiteracyCode0
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models—0
Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara—0
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP LayersCode0
SEGMENT+: Long Text Processing with Short-Context Language Models—0
Uncovering Factor Level Preferences to Improve Human-Model Alignment—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation PuzzlesCode0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital EnvironmentsCode0
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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