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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/unimodal4reasoning/chartvlm

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StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding

https://github.com/unimodal4reasoning/simchart9k

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StructChart: On the Schema, Metric, and Augmentation for Visual Chart Understanding

https://github.com/upper9527/gerea

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GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering

https://github.com/urchade/dyrex

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DyREx: Dynamic Query Representation for Extractive Question Answering

https://github.com/urvashikhanna/bioasq9b

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Transformer-based Language Models for Factoid Question Answering at BioASQ9b

https://github.com/usmaann/BioALBERT

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Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

https://github.com/ustc-starteam/genki

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GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models

https://github.com/usydnlp/REXUP

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REXUP: I REason, I EXtract, I UPdate with Structured Compositional Reasoning for Visual Question Answering

https://github.com/uta-smile/TCL

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Vision-Language Pre-Training with Triple Contrastive Learning

https://github.com/utahnlp/layer_augmentation

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Augmenting Neural Networks with First-order Logic

https://github.com/utsjiyaoli/qa-attack

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Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach

https://github.com/uuujf/IterAvg

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Obtaining Adjustable Regularization for Free via Iterate Averaging

https://github.com/uwnlp/denspi

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Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index

https://github.com/uwnlp/piqa

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Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension

https://github.com/uwnlp/qrn

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Query-Reduction Networks for Question Answering

https://github.com/vacancy/NSCL-PyTorch-Release

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The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

https://github.com/vaibhav4595/ClarQ

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ClarQ: A large-scale and diverse dataset for Clarification Question Generation

https://github.com/vaidehi99/unlok-vqa

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Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation

https://github.com/vaishwarya96/GroVE

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Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models

https://github.com/val-iisc/sketchguess

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Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing

https://github.com/valvoda/neuraltransducer

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Benchmarking Compositionality with Formal Languages

https://github.com/vanessadamario/understanding_reasoning

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How Modular Should Neural Module Networks Be for Systematic Generalization?

https://github.com/vanzytay/NIPS2018_RCRN

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Recurrently Controlled Recurrent Networks

https://github.com/varal7/conformal-language-modeling

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Conformal Language Modeling

https://github.com/veason-silverbullet/vitlp

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Visually Guided Generative Text-Layout Pre-training for Document Intelligence

https://github.com/vectorinstitute/humanibench

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HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation

https://github.com/vedantpalit/towards-vision-language-mechanistic-interpretability

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Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP

https://github.com/velocitycavalry/crepe

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CREPE: Open-Domain Question Answering with False Presuppositions

https://github.com/venkteshv/dexter

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DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs

https://github.com/veranep/mbbq

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MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

https://github.com/verdurechen/sos-retrieval-loop

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Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question Answering

https://github.com/vered1986/self_talk

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Unsupervised Commonsense Question Answering with Self-Talk

https://github.com/vernontoh/veritymath

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VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency

https://github.com/veronica320/faithful-cot

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Faithful Chain-of-Thought Reasoning

https://github.com/veronicium/anchordr

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Unsupervised Dense Retrieval Training with Web Anchors

https://github.com/vgaraujov/seq2seq-spanish-plms

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Sequence-to-Sequence Spanish Pre-trained Language Models

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