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

Showing 601650 of 10817 papers

TitleStatusHype
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-GenerationCode1
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain ReasonerCode1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsCode1
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
Latent Retrieval for Weakly Supervised Open Domain Question AnsweringCode1
Chain-of-Skills: A Configurable Model for Open-domain Question AnsweringCode1
Equivariant and Invariant Grounding for Video Question AnsweringCode1
Ethics Sheets for AI TasksCode1
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and EvaluationCode1
CC-Riddle: A Question Answering Dataset of Chinese Character RiddlesCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringCode1
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-TrainingCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern RetrievalCode1
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringCode1
End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringCode1
Abg-CoQA: Clarifying Ambiguity in Conversational Question AnsweringCode1
CBench: Towards Better Evaluation of Question Answering Over Knowledge GraphsCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Enhancing Contextual Understanding in Large Language Models through Contrastive DecodingCode1
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual ScenesCode1
Causal Distillation for Language ModelsCode1
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question AnsweringCode1
emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsCode1
Encoding and Controlling Global Semantics for Long-form Video Question AnsweringCode1
Empower Entity Set Expansion via Language Model ProbingCode1
Empowering Large Language Model for Continual Video Question Answering with Collaborative PromptingCode1
Empirical Study of Zero-Shot NER with ChatGPTCode1
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question AnsweringCode1
ALaRM: Align Language Models via Hierarchical Rewards ModelingCode1
CARE: Collaborative AI-Assisted Reading EnvironmentCode1
Eliminating Position Bias of Language Models: A Mechanistic ApproachCode1
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language ModelsCode1
Capturing Row and Column Semantics in Transformer Based Question Answering over TablesCode1
ELI5: Long Form Question AnsweringCode1
Embedding Recycling for Language ModelsCode1
ELASTIC: Numerical Reasoning with Adaptive Symbolic CompilerCode1
ELECTRAMed: a new pre-trained language representation model for biomedical NLPCode1
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video UnderstandingCode1
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray ImagesCode1
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than GeneratorsCode1
Can't Remember Details in Long Documents? You Need Some R&RCode1
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelCode1
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the BackboneCode1
Can Question Rewriting Help Conversational Question Answering?Code1
Can questions summarize a corpus? Using question generation for characterizing COVID-19 researchCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified