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 3576–3600 of 10817 papers

TitleStatusHype
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
An Embodied Generalist Agent in 3D WorldCode2
Orca 2: Teaching Small Language Models How to Reason—0
DynaPipe: Optimizing Multi-task Training through Dynamic PipelinesCode1
PEFT-MedAware: Large Language Model for Medical Awareness—0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric KnowledgeCode1
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
Online Continual Knowledge Learning for Language Models—0
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLUCode0
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User PerceptionCode0
Downstream Trade-offs of a Family of Text WatermarksCode0
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction TuningCode0
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based LearningCode0
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering—0
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering—0
Crafting In-context Examples according to LMs' Parametric KnowledgeCode0
Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionCode4
Leveraging LLMs in Scholarly Knowledge Graph Question AnsweringCode0
VideoCon: Robust Video-Language Alignment via Contrast CaptionsCode1
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach—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