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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/li-qingyun/mllm-mmrotate

공식 코드

A Simple Aerial Detection Baseline of Multimodal Language Models

https://github.com/liangke23/awesome-knowledge-graph-reasoning

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A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

https://github.com/libeineu/SDT-Training

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Shallow-to-Deep Training for Neural Machine Translation

https://github.com/libeineu/mmt-vqa

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Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs

https://github.com/lichenghaobuaa/tokenlearning

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Re-Initialization Token Learning for Tool-Augmented Large Language Models

https://github.com/lihuiliullh/lgot

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Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs

https://github.com/lijiannuist/efficient-multimodal-llms-survey

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Efficient Multimodal Large Language Models: A Survey

https://github.com/lijiazheng99/cue

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CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models

https://github.com/lik1996/crvqa2024

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Convincing Rationales for Visual Question Answering Reasoning

https://github.com/like413/vista

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Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection

https://github.com/likicode/QA-generalize

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Challenges in Generalization in Open Domain Question Answering

https://github.com/lil-lab/bandit-qa

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Simulating Bandit Learning from User Feedback for Extractive Question Answering

https://github.com/lil-lab/qa-from-hf

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Continually Improving Extractive QA via Human Feedback

https://github.com/lilidamowang/iiu

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IIU: Independent Inference Units for Knowledge-based Visual Question Answering

https://github.com/lily-x/artificial-replay

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Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits

https://github.com/lilys012/known_examples

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Crafting In-context Examples according to LMs' Parametric Knowledge

https://github.com/limiaoyu/dietcoke

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Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA

https://github.com/lingchensanwen/dcqa-qud-parsing

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Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion

https://github.com/linjieli222/HERO

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HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

https://github.com/linjieli222/VQA_ReGAT

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Relation-Aware Graph Attention Network for Visual Question Answering

https://github.com/linjiemu/mmxu

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MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease Progression

https://github.com/linkanonymous/besa

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BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation

https://github.com/linqs/dickens-arxiv24

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A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems

https://github.com/lins-lab/capaboost

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Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning

https://github.com/linukc/dygenc

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DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes

https://github.com/linweizhedragon/retrieval-augmented-visual-question-answering

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Retrieval Augmented Visual Question Answering with Outside Knowledge

https://github.com/linxins97/mask-lrp

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Better Explain Transformers by Illuminating Important Information

https://github.com/linzhiqiu/t2i_metrics

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Evaluating Text-to-Visual Generation with Image-to-Text Generation

https://github.com/linzhiqiu/t2v_metrics

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Evaluating Text-to-Visual Generation with Image-to-Text Generation

https://github.com/linzhiqiu/visual_gpt_score

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Revisiting the Role of Language Priors in Vision-Language Models

https://github.com/linziyang1999/vga-visual-gui-assistant

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VGA: Vision GUI Assistant -- Minimizing Hallucinations through Image-Centric Fine-Tuning

https://github.com/liqing-ustc/NGS

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Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning

https://github.com/lirt1231/degreembed

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DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

https://github.com/liseda-lab/truewalks

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Biomedical Knowledge Graph Embeddings with Negative Statements

https://github.com/lishaofeng/NLP_Backdoor

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Hidden Backdoors in Human-Centric Language Models

https://github.com/liuhc0428/med-pmc

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Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm

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