SOTAVerified

Reading Comprehension

Most current question answering datasets frame the task as reading comprehension where the question is about a paragraph or document and the answer often is a span in the document.

Some specific tasks of reading comprehension include multi-modal machine reading comprehension and textual machine reading comprehension, among others. In the literature, machine reading comprehension can be divide into four categories: cloze style, multiple choice, span prediction, and free-form answer. Read more about each category here.

Benchmark datasets used for testing a model's reading comprehension abilities include MovieQA, ReCoRD, and RACE, among others.

The Machine Reading group at UCL also provides an overview of reading comprehension tasks.

Figure source: A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics and Benchmark Datasets

Papers

Showing 351400 of 1760 papers

TitleStatusHype
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in EducationCode0
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation0
It Is Not About What You Say, It Is About How You Say It: A Surprisingly Simple Approach for Improving Reading Comprehension0
Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States0
VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models0
Unused information in token probability distribution of generative LLM: improving LLM reading comprehension through calculation of expected valuesCode0
2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval0
Coherent Zero-Shot Visual Instruction Generation0
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question AnsweringCode0
FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced LanguagesCode0
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding0
Brainstorming Brings Power to Large Language Models of Knowledge Reasoning0
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training0
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation0
Automated Focused Feedback Generation for Scientific Writing AssistanceCode0
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension0
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension0
Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection0
Auto FAQ Generation0
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation0
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition0
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education0
UQA: Corpus for Urdu Question AnsweringCode0
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering0
Efficient LLM Inference with Kcache0
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension0
Transfer Learning Enhanced Single-choice Decision for Multi-choice Question Answering0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering0
emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information0
Question Difficulty Ranking for Multiple-Choice Reading Comprehension0
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in ImagesCode0
Fewer Truncations Improve Language Modeling0
Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language ModelsCode0
NoticIA: A Clickbait Article Summarization Dataset in SpanishCode0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements0
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs0
The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models0
Interpreting Themes from Educational StoriesCode0
XL^2Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies0
LLM-aided explanations of EDA synthesis errors0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Exploring Autonomous Agents through the Lens of Large Language Models: A Review0
The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.00
Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey0
Text Understanding in GPT-4 vs Humans0
WangchanLion and WangchanX MRC EvalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Rational Reasoner / IDOLTest80.6Unverified
2AMR-LE-EnsembleTest80Unverified
3MERIt(MERIt-deberta-v2-xxlarge )Test79.3Unverified
4MERIt-deberta-v2-xxlarge deberta.v2.xxlarge.path.override_True.norm_1.1.0.w2.A100.cp200.s42Test79.3Unverified
5Knowledge modelTest79.2Unverified
6DeBERTa-v2-xxlarge-AMR-LE-ContrapositionTest77.2Unverified
7LReasoner ensembleTest76.1Unverified
8ELECTRA and ALBERTTest71Unverified
9WWZTest69.7Unverified
10xlnet-large-uncased [extended data]Test69.3Unverified
#ModelMetricClaimedVerifiedStatus
1ALBERT (Ensemble)Accuracy91.4Unverified
2Megatron-BERT (ensemble)Accuracy90.9Unverified
3ALBERTxxlarge+DUMA(ensemble)Accuracy89.8Unverified
4Megatron-BERTAccuracy89.5Unverified
5XLNetAccuracy (Middle)88.6Unverified
6DeBERTalargeAccuracy86.8Unverified
7B10-10-10Accuracy85.7Unverified
8RoBERTaAccuracy83.2Unverified
9Orca 2-13BAccuracy82.87Unverified
10Orca 2-7BAccuracy80.79Unverified
#ModelMetricClaimedVerifiedStatus
1Golden TransformerAverage F10.94Unverified
2MT5 LargeAverage F10.84Unverified
3ruRoberta-large finetuneAverage F10.83Unverified
4ruT5-large-finetuneAverage F10.82Unverified
5Human BenchmarkAverage F10.81Unverified
6ruT5-base-finetuneAverage F10.77Unverified
7ruBert-large finetuneAverage F10.76Unverified
8ruBert-base finetuneAverage F10.74Unverified
9RuGPT3XL few-shotAverage F10.74Unverified
10RuGPT3LargeAverage F10.73Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-LargeOverall: F164.4Unverified
2BERT-LargeOverall: F162.7Unverified
3BiDAFOverall: F128.5Unverified
#ModelMetricClaimedVerifiedStatus
1BERTMSE0.05Unverified
#ModelMetricClaimedVerifiedStatus
1BERT pretrained on MIMIC-IIIAnswer F163.55Unverified