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 826–850 of 10817 papers

TitleStatusHype
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation—0
MEBench: Benchmarking Large Language Models for Cross-Document Multi-Entity Question Answering—0
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models—0
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA—0
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation—0
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsCode4
Uncertainty Quantification in Retrieval Augmented Question AnsweringCode0
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersCode2
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation—0
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based InferenceCode0
Tip of the Tongue Query Elicitation for Simulated EvaluationCode0
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning AttacksCode1
Evaluating the Effect of Retrieval Augmentation on Social Biases—0
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark—0
AAD-LLM: Neural Attention-Driven Auditory Scene Understanding—0
HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference OptimizationCode1
MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR TextsCode0
Baichuan-Audio: A Unified Framework for End-to-End Speech InteractionCode3
MULTITAT: Benchmarking Multilingual Table-and-Text Question AnsweringCode0
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMsCode3
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines—0
Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive QueriesCode0
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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