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 426–450 of 10817 papers

TitleStatusHype
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement LearningCode2
A Reasoning-Focused Legal Retrieval Benchmark—0
Characterising Topic Familiarity and Query Specificity Using Eye-Tracking DataCode0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making—0
IndicSQuAD: A Comprehensive Multilingual Question Answering Dataset for Indic LanguagesCode1
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic ScenesCode0
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language ModelCode4
MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksCode0
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question AnsweringCode1
Sim2Real Transfer for Vision-Based Grasp VerificationCode0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering—0
Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks—0
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech SynthesisCode3
Compositional Image-Text Matching and Retrieval by Grounding EntitiesCode0
RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time VideoCode1
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs—0
Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings—0
OODTE: A Differential Testing Engine for the ONNX Optimizer—0
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
TRAVELER: A Benchmark for Evaluating Temporal Reasoning across Vague, Implicit and Explicit References—0
Transferable Adversarial Attacks on Black-Box Vision-Language Models—0
Grounding Task Assistance with Multimodal Cues from a Single Demonstration—0
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and CareCode0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
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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