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 801–850 of 10817 papers

TitleStatusHype
SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-CheckingCode2
FunBench: Benchmarking Fundus Reading Skills of MLLMs—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
GlossGPT: GPT for Word Sense Disambiguation using Few-shot Chain-of-Thought PromptingCode0
Streaming Video Question-Answering with In-context Video KV-Cache RetrievalCode2
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringCode0
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval—0
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language ModelsCode0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
PreMind: Multi-Agent Video Understanding for Advanced Indexing of Presentation-style Videos—0
Protecting multimodal large language models against misleading visualizationsCode0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
Few-Shot Multilingual Open-Domain QA from 5 ExamplesCode0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
Can Large Language Models Unveil the Mysteries? An Exploration of Their Ability to Unlock Information in Complex Scenarios—0
From Retrieval to Generation: Comparing Different Approaches—0
M-LLM Based Video Frame Selection for Efficient Video Understanding—0
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question AnsweringCode1
END: Early Noise Dropping for Efficient and Effective Context Denoising—0
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement—0
Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision—0
Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents—0
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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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