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 7151–7175 of 10817 papers

TitleStatusHype
A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Parallel Key-Value Cache Fusion for Position Invariant RAG—0
Open Information Extraction on Scientific Text: An Evaluation—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models—0
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing—0
ConSens: Assessing context grounding in open-book question answering—0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
A Summary of the ALQAC 2021 Competition—0
Open Question Answering with Weakly Supervised Embedding Models—0
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue—0
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures—0
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis—0
Open Temporal Relation Extraction for Question Answering—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models—0
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation—0
PARAMANU-AYN: Pretrain from scratch or Continual Pretraining of LLMs for Legal Domain Adaptation?—0
Hallucination Detection in LLMs via Topological Divergence on Attention Graphs—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph—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