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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2801–2850 of 10817 papers

TitleStatusHype
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback—0
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition—0
Marten: Visual Question Answering with Mask Generation for Multi-modal Document UnderstandingCode0
Synthetic Data Generation Using Large Language Models: Advances in Text and Code—0
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models—0
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware—0
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence—0
Synthetic Clarification and Correction Dialogues about Data-Centric Tasks -- A Teacher-Student Approach—0
How much do LLMs learn from negative examples?Code0
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models—0
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
HIS-GPT: Towards 3D Human-In-Scene Multimodal Understanding—0
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens—0
Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory—0
VITED: Video Temporal Evidence Distillation—0
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference—0
Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions—0
MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways—0
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration—0
Knowledge-Aware Iterative Retrieval for Multi-Agent Systems—0
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding—0
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAGCode0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
General Table Question Answering via Answer-Formula Joint Generation—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
T2I-FineEval: Fine-Grained Compositional Metric for Text-to-Image EvaluationCode0
Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
MUSS: Multilevel Subset Selection for Relevance and Diversity—0
UMB@PerAnsSumm 2025: Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning—0
Unlock the Power of Unlabeled Data in Language Driving Model—0
Learning to Inference Adaptively for Multimodal Large Language Models—0
TIME: Temporal-sensitive Multi-dimensional Instruction Tuning and Benchmarking for Video-LLMs—0
KV-Distill: Nearly Lossless Learnable Context Compression for LLMs—0
SurgicalVLM-Agent: Towards an Interactive AI Co-Pilot for Pituitary Surgery—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
UniF^2ace: Fine-grained Face Understanding and Generation with Unified Multimodal Models—0
Bring Remote Sensing Object Detect Into Nature Language Model: Using SFT Method—0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
PlainQAFact: Automatic Factuality Evaluation Metric for Biomedical Plain Language Summaries GenerationCode0
FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback—0
A Survey on Knowledge-Oriented Retrieval-Augmented Generation—0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue CorpusCode0
Towards Fine-Grained Video Question Answering—0
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
Show:102550
← PrevPage 57 of 217Next →
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