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 3976–4000 of 10817 papers

TitleStatusHype
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
KaPQA: Knowledge-Augmented Product Question-Answering—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
Enhancing Temporal Understanding in LLMs for Semi-structured Tables—0
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
RadioRAG: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generationCode0
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
NV-Retriever: Improving text embedding models with effective hard-negative mining—0
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
Clinical Reading Comprehension with Encoder-Decoder Models Enhanced by Direct Preference Optimization—0
Advancing Chart Question Answering with Robust Chart Component Recognition—0
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference—0
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach—0
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person ViewCode0
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages—0
MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline—0
Evaluating Search Engines and Large Language Models for Answering Health QuestionsCode0
ProcTag: Process Tagging for Assessing the Efficacy of Document Instruction Data—0
Multimodal Reranking for Knowledge-Intensive Visual Question Answering—0
EchoSight: Advancing Visual-Language Models with Wiki Knowledge—0
Conversational Query Reformulation with the Guidance of Retrieved Documents—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