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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/lzhenwen/analogical_mwp

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Analogical Math Word Problems Solving with Enhanced Problem-Solution Association

https://github.com/lzhenwen/mwp-bert

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MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving

https://github.com/lzxlin/bioelqa

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Biomedical Entity Linking as Multiple Choice Question Answering

https://github.com/maastrichtlawtech/lleqa

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Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models

https://github.com/macehil/nesy-asp-vqa-pipeline

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A Neuro-Symbolic ASP Pipeline for Visual Question Answering

https://github.com/machuangtao/llm-kg4qa

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Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities

https://github.com/maddalena-amendola/TUEF

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Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms

https://github.com/madrylab/at2

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Learning to Attribute with Attention

https://github.com/maehcm/do-good

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Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models

https://github.com/magic-ai4med/meds-ins

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Towards Evaluating and Building Versatile Large Language Models for Medicine

https://github.com/magic-ai4med/mmedlm

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Towards Building Multilingual Language Model for Medicine

https://github.com/magic-research/PLLaVA

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PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

https://github.com/magic-research/Sa2VA

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Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding

https://github.com/magkai/CONQUER

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Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs

https://github.com/magkai/CROWN

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Conversational Question Answering over Passages by Leveraging Word Proximity Networks

https://github.com/magkai/PRAISE

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Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering

https://github.com/mahadi-nahid/tabsqlify

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TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

https://github.com/mahesh-ak/SktQA

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A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs

https://github.com/maikezuefle/contr-pretraining

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Contrastive Learning for Task-Independent SpeechLLM-Pretraining

https://github.com/mair-lab/mapl

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MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting

https://github.com/maitreyapatel/cripp-vqa

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CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering

https://github.com/makexine/CDIT

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Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs

https://github.com/mambaretriever/mambaretriever

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Single-Pass Document Scanning for Question Answering

https://github.com/manestay/paxqa

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PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale

https://github.com/manga109/mangalmm

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MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding

https://github.com/manoja328/tallyqacode

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TallyQA: Answering Complex Counting Questions

https://github.com/manthan2305/Efficient-G-Retriever

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Efficient Document Retrieval with G-Retriever

https://github.com/manyawadhwa/explanation_based_rescaling

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Using Natural Language Explanations to Rescale Human Judgments

https://github.com/marcosfp97/llm-binary-health-qa

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Evaluating Search Engines and Large Language Models for Answering Health Questions

https://github.com/marcotcr/checklist

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Beyond Accuracy: Behavioral Testing of NLP models with CheckList

https://github.com/markellekelly/ai_mental_models

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Capturing Humans' Mental Models of AI: An Item Response Theory Approach

https://github.com/markendo/humanmotionqa

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Motion Question Answering via Modular Motion Programs

https://github.com/marslanm/multimodality-representation-learning

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Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications

https://github.com/marthaflinderslewis/clip-binding

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Does CLIP Bind Concepts? Probing Compositionality in Large Image Models

https://github.com/martiansideofthemoon/hurdles-longform-qa

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Hurdles to Progress in Long-form Question Answering

https://github.com/masakhane-io/afriqa

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AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

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