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 2351–2375 of 10817 papers

TitleStatusHype
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented GenerationCode1
Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications—0
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
Factual Confidence of LLMs: on Reliability and Robustness of Current EstimatorsCode1
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target TokensCode0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Nash CoT: Multi-Path Inference with Preference EquilibriumCode0
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization—0
Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval—0
Towards Understanding Domain Adapted Sentence Embeddings for Document Retrieval—0
Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQACode0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis—0
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace TheoryCode0
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive PrinciplesCode1
VoCo-LLaMA: Towards Vision Compression with Large Language ModelsCode3
Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for EnsemblingCode2
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries—0
PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems—0
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image UnderstandingCode2
Problem-Solving in Language Model NetworksCode0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical ReasoningCode2
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs—0
Mitigating Large Language Model Hallucination with Faithful Finetuning—0
MedCalc-Bench: Evaluating Large Language Models for Medical CalculationsCode2
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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