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Question Answering

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하위 태스크: 19
평가표: 153
보존된 평가 기록: 1,781

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 )

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lalithjets/surgicalgpt

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SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery

https://github.com/lanwuwei/GigaBERT

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An Empirical Study of Pre-trained Transformers for Arabic Information Extraction

https://github.com/lanwuwei/SPM_toolkit

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Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

https://github.com/lapisrocks/languageagenttreesearch

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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

https://github.com/lasigeBioTM/BiQA

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Generating Biomedical Question Answering Corpora from Q&A forums

https://github.com/lauhaide/ragu

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Uncertainty Quantification in Retrieval Augmented Question Answering

https://github.com/launchnlp/lito

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Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression

https://github.com/laurawenderoth/training-dynamics

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Diagnosing Medical Datasets with Training Dynamics

https://github.com/lautel/meg

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MEG: Medical Knowledge-Augmented Large Language Models for Question Answering

https://github.com/lavi-lab/navillm

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Towards Learning a Generalist Model for Embodied Navigation

https://github.com/lavi-lab/tg-vid

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Enhancing Temporal Modeling of Video LLMs via Time Gating

https://github.com/law-ai/summarization

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Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

https://github.com/laytextllm/laytextllm

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A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document Understanding

https://github.com/ldilab/ecorag

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ECoRAG: Evidentiality-guided Compression for Long Context RAG

https://github.com/learnware-lamda/learnware

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Learnware of Language Models: Specialized Small Language Models Can Do Big

https://github.com/lee-group-cmu/lf2i

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Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference

https://github.com/leeyn-43/clover

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Clover: Towards A Unified Video-Language Alignment and Fusion Model

https://github.com/leezythu/MetaBLINK

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Effective Few-Shot Named Entity Linking by Meta-Learning

https://github.com/leezythu/flexkbqa

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FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

https://github.com/leezythu/uctr

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Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework

https://github.com/leezythu/uctr-st

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Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework

https://github.com/leia-llm/leia

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LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation

https://github.com/leitro/selfattnscoring-mpdocvqa

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Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism

https://github.com/leoleoasd/mlp-based-weighting

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Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question Answering

https://github.com/leon1207/video-rag-master

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Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

https://github.com/leonweber/nlprolog

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NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

https://github.com/leshanbog/PreSumm

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Advances of Transformer-Based Models for News Headline Generation

https://github.com/letitiabanana/pnp-ovss

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Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models

https://github.com/levymsn/cqa-crct

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Classification-Regression for Chart Comprehension

https://github.com/lezhang7/moqagpt

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MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model

https://github.com/lfy79001/reghnt

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Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

https://github.com/lfy79001/s3hqa

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S$^3$HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering

https://github.com/lg-nlp/korwikitablequestions

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Korean-Specific Dataset for Table Question Answering

https://github.com/lgresearch/ytcommentqa

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YTCommentQA: Video Question Answerability in Instructional Videos

https://github.com/lhrlab/chatkbqa

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ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

https://github.com/lhrlab/kbqa-o1

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KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

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