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Reading Comprehension
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
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Chaining Event Spans for Temporal Relation Grounding
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Automatic Generation of Inference Making Questions for Reading Comprehension Assessments
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Prosodic Structure Beyond Lexical Content: A Study of Self-Supervised Learning
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
Matryoshka Model Learning for Improved Elastic Student Models
What Has Been Lost with Synthetic Evaluation?
AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs
WDMIR: Wavelet-Driven Multimodal Intent Recognition
ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning
SELF: Self-Extend the Context Length With Logistic Growth Function
A Participatory Strategy for AI Ethics in Education and Rehabilitation grounded in the Capability Approach
Social Bias in Popular Question-Answering Benchmarks
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
QA-prompting: Improving Summarization with Large Language Models using Question-Answering
Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models
KG-QAGen: A Knowledge-Graph-Based Framework for Systematic Question Generation and Long-Context LLM Evaluation
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data
Learning Graph Representation of Agent Diffusers
Elastic Weight Consolidation for Full-Parameter Continual Pre-Training of Gemma2
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
Ask, Fail, Repeat: Meeseeks, an Iterative Feedback Benchmark for LLMs' Multi-turn Instruction-Following Ability
Using LLMs in Generating Design Rationale for Software Architecture Decisions
CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors
LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
GOAT-TTS: Expressive and Realistic Speech Generation via A Dual-Branch LLM
Can you map it to English? The Role of Cross-Lingual Alignment in Multilingual Performance of LLMs
Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
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