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 1751–1800 of 10817 papers

TitleStatusHype
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
Question-Answering System for Bangla: Fine-tuning BERT-Bangla for a Closed Domain—0
Structured List-Grounded Question Answering—0
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages—0
Learning Semantic Structure through First-Order-Logic Translation—0
Table Question Answering for Low-resourced Indic LanguagesCode0
ALR^2: A Retrieve-then-Reason Framework for Long-context Question Answering—0
EXAQ: Exponent Aware Quantization For LLMs AccelerationCode0
A General Framework for Producing Interpretable Semantic Text EmbeddingsCode0
Frame-Voyager: Learning to Query Frames for Video Large Language Models—0
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions—0
Coal Mining Question Answering with LLMs—0
Unlocking Structured Thinking in Language Models with Cognitive Prompting—0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language ModelCode1
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
MA-RLHF: Reinforcement Learning from Human Feedback with Macro ActionsCode1
Video Instruction Tuning With Synthetic Data—0
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge InjectionCode0
GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Distilling an End-to-End Voice Assistant Without Instruction Training Data—0
Enhancing Retrieval in QA Systems with Derived Feature AssociationCode0
Reasoning Elicitation in Language Models via Counterfactual Feedback—0
CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations—0
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question AnsweringCode1
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses—0
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding—0
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language ModelsCode0
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities—0
Backdooring Vision-Language Models with Out-Of-Distribution Data—0
PCQPR: Proactive Conversational Question Planning with Reflection—0
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design PerspectiveCode0
Unleashing the Potentials of Likelihood Composition for Multi-modal Language ModelsCode0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis—0
Addition is All You Need for Energy-efficient Language Models—0
Self-Updatable Large Language Models with Parameter Integration—0
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Empowering Large Language Model for Continual Video Question Answering with Collaborative PromptingCode1
BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured DataCode0
Semantic Parsing with Candidate Expressions for Knowledge Base Question AnsweringCode0
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language ModelsCode0
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsCode1
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and FilteringCode0
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsCode0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Towards Robust Extractive Question Answering Models: Rethinking the Training MethodologyCode0
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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