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 3851–3900 of 10817 papers

TitleStatusHype
Fine-grained Audio-Visual Joint Representations for Multimodal Large Language ModelsCode1
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering—0
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and BeyondCode0
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language ModelsCode1
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models—0
FireAct: Toward Language Agent Fine-tuning—0
Self-Knowledge Guided Retrieval Augmentation for Large Language Models—0
Retrieval-Generation Synergy Augmented Large Language ModelsCode4
Lightweight In-Context Tuning for Multimodal Unified Models—0
BRAINTEASER: Lateral Thinking Puzzles for Large Language ModelsCode1
Do Large Language Models Know about Facts?—0
An Investigation of LLMs' Inefficacy in Understanding Converse RelationsCode1
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question AnsweringCode1
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading—0
Critique Ability of Large Language Models—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering—0
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
Policy-Gradient Training of Language Models for Ranking—0
Analysis of the Reasoning with Redundant Information Provided Ability of Large Language Models—0
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationCode1
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language ModelsCode1
Evaluating Hallucinations in Chinese Large Language ModelsCode3
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
DecoderLens: Layerwise Interpretation of Encoder-Decoder TransformersCode0
A Long Way to Go: Investigating Length Correlations in RLHFCode1
CLEVRER-Humans: Describing Physical and Causal Events the Human Way—0
DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesCode7
Procedural Text Mining with Large Language ModelsCode0
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference OptimizationCode1
MapperGPT: Large Language Models for Linking and Mapping EntitiesCode1
Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human PreferenceCode1
How FaR Are Large Language Models From Agents with Theory-of-Mind?Code0
On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study—0
Retrieval meets Long Context Large Language Models—0
Improving Automatic VQA Evaluation Using Large Language Models—0
Multimodal Question Answering for Unified Information ExtractionCode1
Integrating UMLS Knowledge into Large Language Models for Medical Question AnsweringCode1
Dodo: Dynamic Contextual Compression for Decoder-only LMs—0
Think before you speak: Training Language Models With Pause Tokens—0
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering—0
Language Models as Knowledge Bases for Visual Word Sense DisambiguationCode0
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsCode2
Human Mobility Question Answering (Vision Paper)—0
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
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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