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 2651–2675 of 10817 papers

TitleStatusHype
Benchmarking LLM-based Relevance Judgment MethodsCode0
WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QACode0
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization—0
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs—0
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs—0
QAVA: Query-Agnostic Visual Attack to Large Vision-Language ModelsCode0
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
Streamlining Biomedical Research with Specialized LLMs—0
LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation—0
RankAlign: A Ranking View of the Generator-Validator Gap in Large Language ModelsCode0
AskQE: Question Answering as Automatic Evaluation for Machine Translation—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents—0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
See or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs—0
Hallucination Detection in LLMs via Topological Divergence on Attention Graphs—0
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning—0
Constructing Micro Knowledge Graphs from Technical Support Documents—0
Kongzi: A Historical Large Language Model with Fact Enhancement—0
HD-RAG: Retrieval-Augmented Generation for Hybrid Documents Containing Text and Hierarchical Tables—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