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 1701–1750 of 10817 papers

TitleStatusHype
StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language ModelsCode1
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation—0
Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
Rewriting Conversational Utterances with Instructed Large Language Models—0
SAKA: An Intelligent Platform for Semi-automated Knowledge Graph Construction and Application—0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models—0
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System—0
TVBench: Redesigning Video-Language Evaluation—0
AuditWen:An Open-Source Large Language Model for AuditCode1
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models—0
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP LayersCode0
SEGMENT+: Long Text Processing with Short-Context Language Models—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial LiteracyCode0
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation PuzzlesCode0
Uncovering Factor Level Preferences to Improve Human-Model Alignment—0
Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Large Continual Instruction AssistantCode2
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-trainingCode0
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition—0
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse SamplingCode2
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Temporal Reasoning Transfer from Text to Video—0
Enhancing Temporal Modeling of Video LLMs via Time GatingCode0
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital EnvironmentsCode0
Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and BeyondCode0
Information Discovery in e-Commerce—0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering—0
Differential TransformerCode2
Mitigating the Risk of Health Inequity Exacerbated by Large Language Models—0
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question AnsweringCode1
MM-R^3: On (In-)Consistency of Multi-modal Large Language Models (MLLMs)—0
ActiView: Evaluating Active Perception Ability for Multimodal Large Language ModelsCode1
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative StructuresCode0
Precise Model Benchmarking with Only a Few Observations—0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question AnsweringCode0
MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM IntegrationCode1
Optimizing AI Reasoning: A Hamiltonian Dynamics Approach to Multi-Hop Question AnsweringCode0
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations—0
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—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