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 1251–1300 of 10817 papers

TitleStatusHype
Question: How do Large Language Models perform on the Question Answering tasks? Answer:—0
When to Speak, When to Abstain: Contrastive Decoding with Abstention—0
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented GenerationCode1
Modality-Inconsistent Continual Learning of Multimodal Large Language Models—0
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-SteeringCode0
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&ACode0
Interpretable LLM-based Table Question Answering—0
Context Filtering with Reward Modeling in Question Answering—0
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language ModelsCode1
ConceptEdit: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning—0
DARWIN 1.5: Large Language Models as Materials Science Adapted LearnersCode3
Advancements and Challenges in Bangla Question Answering Models: A Comprehensive Review—0
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning TypesCode1
Precise Length Control in Large Language Models—0
ACE-M^3: Automatic Capability Evaluator for Multimodal Medical Models—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology—0
AgentPS: Agentic Process Supervision for Multi-modal Content Quality Assurance through Multi-round QA—0
Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
MedG-KRP: Medical Graph Knowledge Representation ProbingCode0
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries—0
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning—0
Patch-level Sounding Object Tracking for Audio-Visual Question Answering—0
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Benchmarking Table Comprehension In The Wild—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
Lost in the Middle, and In-Between: Enhancing Language Models' Ability to Reason Over Long Contexts in Multi-Hop QACode0
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation—0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs—0
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingCode9
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate SectorCode1
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
ViUniT: Visual Unit Tests for More Robust Visual Programming—0
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsCode1
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse DomainsCode0
Assessing the Robustness of Retrieval-Augmented Generation Systems in K-12 Educational Question Answering with Knowledge Discrepancies—0
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering—0
Towards a Multimodal Large Language Model with Pixel-Level Insight for BiomedicineCode2
Doe-1: Closed-Loop Autonomous Driving with Large World ModelCode2
A Multimodal Social Agent—0
DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production—0
Can We Generate Visual Programs Without Prompting LLMs?—0
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language ModelsCode0
In-Context Learning with Topological Information for Knowledge Graph Completion—0
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsCode0
Discrete Subgraph Sampling for Interpretable Graph based Visual Question AnsweringCode0
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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