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 2551–2575 of 10817 papers

TitleStatusHype
ANAH: Analytical Annotation of Hallucinations in Large Language ModelsCode2
Encoding and Controlling Global Semantics for Long-form Video Question AnsweringCode1
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMsCode1
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering—0
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsCode1
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks—0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
RealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Models—0
Data-augmented phrase-level alignment for mitigating object hallucination—0
Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs—0
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question AnsweringCode0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering—0
Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR—0
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Reason3D: Searching and Reasoning 3D Segmentation via Large Language ModelCode2
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?—0
Hawk: Learning to Understand Open-World Video AnomaliesCode3
THREAD: Thinking Deeper with Recursive SpawningCode1
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
On Bits and Bandits: Quantifying the Regret-Information Trade-offCode0
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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