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 4951–5000 of 10817 papers

TitleStatusHype
How Generative-AI can be Effectively used in Government Chatbots—0
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer—0
The curse of language biases in remote sensing VQA: the role of spatial attributes, language diversity, and the need for clear evaluation—0
Fully Authentic Visual Question Answering Dataset from Online CommunitiesCode0
Characterizing Video Question Answering with Sparsified Inputs—0
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models—0
A Comparative and Experimental Study on Automatic Question Answering Systems and its Robustness against Word Jumbling—0
Optimizing and Fine-tuning Large Language Model for Urban Renewal—0
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges—0
Uncertainty-aware Language Modeling for Selective Question Answering—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
See and Think: Embodied Agent in Virtual Environment—0
Walking a Tightrope -- Evaluating Large Language Models in High-Risk Domains—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
Question Answering in Natural Language: the Special Case of Temporal Expressions—0
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models—0
Vamos: Versatile Action Models for Video UnderstandingCode0
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering—0
AlignedCoT: Prompting Large Language Models via Native-Speaking DemonstrationsCode0
AcademicGPT: Empowering Academic Research—0
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?—0
ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science—0
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsCode0
Unifying Corroborative and Contributive Attributions in Large Language Models—0
Towards Robust Text Retrieval with Progressive LearningCode0
Zero-Shot Question Answering over Financial Documents using Large Language Models—0
LLM aided semi-supervision for Extractive Dialog Summarization—0
Journey of Hallucination-minimized Generative AI Solutions for Financial Decision Makers—0
Orca 2: Teaching Small Language Models How to Reason—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based LearningCode0
Downstream Trade-offs of a Family of Text WatermarksCode0
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction TuningCode0
Leveraging LLMs in Scholarly Knowledge Graph Question AnsweringCode0
Online Continual Knowledge Learning for Language Models—0
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User PerceptionCode0
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLUCode0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering—0
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering—0
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric InstrumentsCode0
Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models—0
On the Calibration of Multilingual Question Answering LLMs—0
Towards Verifiable Text Generation with Symbolic References—0
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects—0
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback—0
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach—0
Transformers in the Service of Description Logic-based ContextsCode0
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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