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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/UKPLab/maps

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Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings

https://github.com/UKPLab/qa-generalization-concurrent-debiasing

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Improving QA Generalization by Concurrent Modeling of Multiple Biases

https://github.com/UKPLab/starsem2018-entity-linking

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Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

https://github.com/UKPLab/tacl2020-interactive-ranking

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Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation

https://github.com/UppsalaNLP/uuparser

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Parser Training with Heterogeneous Treebanks

https://github.com/Usprogis/Latvian-Twitter-Eater-Corpus

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What Can We Learn From Almost a Decade of Food Tweets

https://github.com/VALUE-Leaderboard/StarterCode

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VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation

https://github.com/VARGPT-family/VARGPT

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VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

https://github.com/Vanessik/HAAR

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HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles

https://github.com/VarnithChordia/Multimodal_Classification_Co_Attention

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Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention

https://github.com/VenkyMishra/legal_reasoning

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Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning

https://github.com/VickiCui/Loire

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Beyond Language: Learning Commonsense from Images for Reasoning

https://github.com/VirajBagal/MMBERT

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MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

https://github.com/Vision-CAIR/LongVU

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LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

https://github.com/Vision-CAIR/MiniGPT4-video

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MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens

https://github.com/Vision-CAIR/RelTransformer

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RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition

https://github.com/VisionLearningGroup/SANE

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Why do These Match? Explaining the Behavior of Image Similarity Models

https://github.com/Vivianstats/TUBE

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Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification

https://github.com/VodLM/vod

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Variational Open-Domain Question Answering

https://github.com/WHUIR/MATINF

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MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization

https://github.com/WUHU-G/RCC_Transformer

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Recurrent Context Compression: Efficiently Expanding the Context Window of LLM

https://github.com/WangJiuniu/SRQA

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SRQA: Synthetic Reader for Factoid Question Answering

https://github.com/WangYuxuan93/CVLUE

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CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation

https://github.com/WasifurRahman/BERT_multimodal_transformer

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Integrating Multimodal Information in Large Pretrained Transformers

https://github.com/Websail-NU/AQuA

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CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense

https://github.com/Wentao-Xu/SEEK

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SEEK: Segmented Embedding of Knowledge Graphs

https://github.com/WenxuanZhu1103/4D-Bench

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4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding

https://github.com/WisconsinAIVision/YoLLaVA

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Yo'LLaVA: Your Personalized Language and Vision Assistant

https://github.com/WorkInTheDark/FairytaleQA_QAG_System

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It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books

https://github.com/WorldHellow/mHallucinations-LLM

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How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild

https://github.com/X-F-Cui/Fictitious_Fact_Watermarks

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Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge

https://github.com/XenonLamb/EditVid-QA

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Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model

https://github.com/XiangLi1999/AutoBencher

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AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models

https://github.com/XingruiWang/SuperCLEVR-Physics

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Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering

https://github.com/XuhuiZhou/CATS

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Evaluating Commonsense in Pre-trained Language Models

https://github.com/YIKUAN8/Transformers-VQA

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A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

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