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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/anthonywchen/MOCHA

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MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

https://github.com/anthonywchen/rarr

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RARR: Researching and Revising What Language Models Say, Using Language Models

https://github.com/anthropics/decompositionfaithfulnesspaper

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Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

https://github.com/antoyang/FrozenBiLM

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Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

https://github.com/antoyang/just-ask

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Just Ask: Learning to Answer Questions from Millions of Narrated Videos

https://github.com/aorogat/CBench

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CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs

https://github.com/aoshuang92/css_uq_llms

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CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs

https://github.com/aozmh/crake

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Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base

https://github.com/aparna-b/fairrankingrelevance

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The Role of Relevance in Fair Ranking

https://github.com/apoorvumang/CronKGQA

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Question Answering Over Temporal Knowledge Graphs

https://github.com/apoorvumang/kgt5

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Sequence-to-Sequence Knowledge Graph Completion and Question Answering

https://github.com/apple/ml-cvnets

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RangeAugment: Efficient Online Augmentation with Range Learning

https://github.com/apple/ml-kge

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Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs

https://github.com/apple/ml-knowledge-conflicts

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Entity-Based Knowledge Conflicts in Question Answering

https://github.com/apple/ml-mkqa

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MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

https://github.com/apple/ml-qrecc

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Open-Domain Question Answering Goes Conversational via Question Rewriting

https://github.com/apple/ml-slowfast-llava

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SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

https://github.com/apple/ml-superposition-prompting

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Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

https://github.com/apple2373/action-general.icdl

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Action Recognition based on Cross-Situational Action-object Statistics

https://github.com/applied-machine-learning-lab/hi-merging

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Training-free LLM Merging for Multi-task Learning

https://github.com/archiki/repare

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Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models

https://github.com/arctanxarc/mc-llava

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MC-LLaVA: Multi-Concept Personalized Vision-Language Model

https://github.com/ardayueksel/turkishmmlu

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TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish

https://github.com/arian-askari/answerretrieval-legal

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Answer Retrieval in Legal Community Question Answering

https://github.com/arian-askari/ef_in_legal_cqa

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Expert Finding in Legal Community Question Answering

https://github.com/aritra23/dragonverseqa

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DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering

https://github.com/arkilpatel/SVAMP

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Are NLP Models really able to Solve Simple Math Word Problems?

https://github.com/arthur-heng/nlgraph

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Can Language Models Solve Graph Problems in Natural Language?

https://github.com/arthur-thuy/qde-active-learning

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Active Learning to Guide Labeling Efforts for Question Difficulty Estimation

https://github.com/arthurizijar/kb-coder

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Code-Style In-Context Learning for Knowledge-Based Question Answering

https://github.com/arthurleom/dress-llm

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DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing

https://github.com/arusarkabose/covid-19

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COV19IR : COVID-19 Domain Literature Information Retrieval

https://github.com/arxivbenchllm/arxivbench

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ArxivBench: Can LLMs Assist Researchers in Conducting Research?

https://github.com/aryopg/decore

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DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations

https://github.com/as18cia/thesis_work

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Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph

https://github.com/asaakyan/V-FLUTE

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Understanding Figurative Meaning through Explainable Visual Entailment

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