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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/aimijie/dcr

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DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs

https://github.com/aimijie/divide-and-conquer

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DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs

https://github.com/aiming-lab/mdocagent

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MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

https://github.com/ainagari/scalar_adjs

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BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations

https://github.com/aioz-ai/ECCVW20_MILQT

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Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering

https://github.com/aioz-ai/ICCV19_VQA-CTI

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Compact Trilinear Interaction for Visual Question Answering

https://github.com/aioz-ai/MICCAI19-MedVQA

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Overcoming Data Limitation in Medical Visual Question Answering

https://github.com/aioz-ai/MICCAI21_MMQ

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Multiple Meta-model Quantifying for Medical Visual Question Answering

https://github.com/aioz-ai/cfr_vqa

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Coarse-to-Fine Reasoning for Visual Question Answering

https://github.com/aioz-ai/crf_vqa

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Coarse-to-Fine Reasoning for Visual Question Answering

https://github.com/airi-institute/arigraph

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AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

https://github.com/airsplay/lxmert

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LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/aisecure/AdvCodec

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T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack

https://github.com/aistairc/virtualhome2kg

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Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space

https://github.com/aita-ai4ed/aita

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AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs

https://github.com/aitmlouk/fedn-client-fedqas-tf

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FedQAS: Privacy-aware machine reading comprehension with federated learning

https://github.com/aizanzafar/MedLogicAQA

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MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures

https://github.com/ajesujoba/UNIQORN

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UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text

https://github.com/akariasai/evidentiality_qa

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Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

https://github.com/akash-ghosh-123/scitabqa

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How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset

https://github.com/akeepers/lear

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Enhanced Language Representation with Label Knowledge for Span Extraction

https://github.com/akhilkedia/tranformersgetstable

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Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models

https://github.com/akirafukui/vqa-mcb

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Analyzing the Behavior of Visual Question Answering Models

https://github.com/akoksal/longform

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LongForm: Effective Instruction Tuning with Reverse Instructions

https://github.com/akshay107/sem-faithfulness

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Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering

https://github.com/akshaygopalkr/em-vlm4ad

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Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving

https://github.com/alab-nii/hieradate

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How Well Do Multi-hop Reading Comprehension Models Understand Date Information?

https://github.com/alab-nii/llm-judge-extract-qa

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LLM-as-a-Judge: Reassessing the Performance of LLMs in Extractive QA

https://github.com/alab-nii/morehopqa

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MoreHopQA: More Than Multi-hop Reasoning

https://github.com/alab-nii/multi-hop-analysis

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Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

https://github.com/alanaai/evud

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AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding

https://github.com/alanaai/repair-qa

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No that's not what I meant: Handling Third Position Repair in Conversational Question Answering

https://github.com/albert-jin/rce-kgqa

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Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning

https://github.com/albertkx/berkeley-crossword-solver

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Automated Crossword Solving

https://github.com/albertotestoni/racquet

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RACQUET: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs

https://github.com/alebondarenko/llm-robustness

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LLM Robustness Against Misinformation in Biomedical Question Answering

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