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 2501–2550 of 10817 papers

TitleStatusHype
Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method—0
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models—0
YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering—0
Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization—0
Abacus: A Cost-Based Optimizer for Semantic Operator Systems—0
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering—0
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing—0
AutoRev: Automatic Peer Review System for Academic Research Papers—0
VoQA: Visual-only Question AnsweringCode0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
Debating for Better Reasoning: An Unsupervised Multimodal Approach—0
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation—0
Domain Adaptation of VLM for Soccer Video Understanding—0
QA-prompting: Improving Summarization with Large Language Models using Question-AnsweringCode0
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture UnderstandingCode0
Memory-Centric Embodied Question Answer—0
Visual Instruction Bottleneck Tuning—0
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency—0
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification—0
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models—0
The Hidden Structure -- Improving Legal Document Understanding Through Explicit Text Formatting—0
SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models—0
KIT's Offline Speech Translation and Instruction Following Submission for IWSLT 2025—0
Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers—0
Tianyi: A Traditional Chinese Medicine all-rounder language model and its Real-World Clinical Practice—0
Q^2Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs—0
Understanding Complexity in VideoQA via Visual Program Generation—0
AMAQA: A Metadata-based QA Dataset for RAG Systems—0
ORQA: A Benchmark and Foundation Model for Holistic Operating Room Modeling—0
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMsCode0
Table-R1: Region-based Reinforcement Learning for Table Understanding—0
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey—0
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment—0
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines—0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering—0
CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation—0
TinyRS-R1: Compact Multimodal Language Model for Remote Sensing—0
Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data—0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering—0
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering—0
AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation—0
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation—0
Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context PermutationCode0
THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering—0
Time-R1: Towards Comprehensive Temporal Reasoning in LLMsCode0
TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMsCode0
HumaniBench: A Human-Centric Framework for Large Multimodal Models EvaluationCode0
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language ModelsCode0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
Scaling Reasoning can Improve Factuality in Large Language ModelsCode0
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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