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 176–200 of 10817 papers

TitleStatusHype
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Spoken question answering for visual queries—0
Multi-Sourced Compositional Generalization in Visual Question AnsweringCode0
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical ReasoningCode1
KVzip: Query-Agnostic KV Cache Compression with Context ReconstructionCode3
Synthetic Document Question Answering in HungarianCode0
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model—0
EvolveSearch: An Iterative Self-Evolving Search Agent—0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs—0
Improving QA Efficiency with DistilBERT: Fine-Tuning and Inference on mobile Intel CPUs—0
Climate Finance BenchCode0
ER-REASON: A Benchmark Dataset for LLM-Based Clinical Reasoning in the Emergency Room—0
Structured Memory Mechanisms for Stable Context Representation in Large Language Models—0
NegVQA: Can Vision Language Models Understand Negation?—0
StressTest: Can YOUR Speech LM Handle the Stress?—0
VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language ModelsCode0
Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems—0
DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving—0
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question AnsweringCode0
Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective—0
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding—0
Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making—0
Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal ModelsCode0
SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge—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