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 7051–7100 of 10817 papers

TitleStatusHype
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network—0
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering—0
On Generating Characteristic-rich Question Sets for QA Evaluation—0
On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints—0
On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints—0
On Knowledge distillation from complex networks for response prediction—0
Online Continual Knowledge Learning for Language Models—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
On Making Reading Comprehension More Comprehensive—0
On Measuring Social Biases in Prompt-Based Learning—0
Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings—0
On Mechanistic Circuits for Extractive Question-Answering—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
Event analysis for information extraction from business-based technical documents—0
Robust Visual Question Answering: Datasets, Methods, and Future Challenges—0
Event-Based Time Label Propagation for Automatic Dating of News Articles—0
On scalable oversight with weak LLMs judging strong LLMs—0
On Scaling Up a Multilingual Vision and Language Model—0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation—0
ConSens: Assessing context grounding in open-book question answering—0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers—0
A Summary of the ALQAC 2021 Competition—0
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining—0
On the Effects of Video Grounding on Language Models—0
Event Extraction as Multi-turn Question Answering—0
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization—0
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
On the Flip Side: Identifying Counterexamples in Visual Question Answering—0
On-the-fly Text Retrieval for End-to-End ASR Adaptation—0
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering—0
On the Generation of Medical Question-Answer Pairs—0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models—0
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models—0
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation—0
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training—0
On the Importance of Diversity in Question Generation for QA—0
On the importance of pre-training data volume for compact language models—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
Overinformative Question Answering by Humans and Machines—0
On the Limitations of Vision-Language Models in Understanding Image Transforms—0
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware—0
On the Multilingual Capabilities of Very Large-Scale English Language Models—0
Hallucination Detection in LLMs via Topological Divergence on Attention Graphs—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—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