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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/shwetanlp/CHQ-Summ

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Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards

https://github.com/shwetanlp/yahoo-chq-summ

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CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization

https://github.com/siagholami/zero-shot-open-book-qa

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Zero-Shot Open-Book Question Answering

https://github.com/siangooding/readability_scroll

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Predicting Text Readability from Scrolling Interactions

https://github.com/siat-nlp/TransDG

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Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering

https://github.com/siddk/vqa-outliers

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Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering

https://github.com/sighingsnow/vf-eval

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VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos

https://github.com/sijingtu/kdd-23-adversaries-with-limited-information

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Adversaries with Limited Information in the Friedkin--Johnsen Model

https://github.com/simiaozuo/moebert

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MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation

https://github.com/simula/Kvasir-VQA

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Kvasir-VQA: A Text-Image Pair GI Tract Dataset

https://github.com/sindhukrao/llm_temporal_bias

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Unveiling Divergent Inductive Biases of LLMs on Temporal Data

https://github.com/sislab-unitn/fine-tune-or-rag

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Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue

https://github.com/sivandoveh/iploc

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Teaching VLMs to Localize Specific Objects from In-context Examples

https://github.com/sivareddyg/udeplambda

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Universal Semantic Parsing

https://github.com/siyue-zhang/SynTableQA

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SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA

https://github.com/siyuyuan/scar

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Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

https://github.com/siyuyuan/scua

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Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?

https://github.com/sjj1017/citekit

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Citekit: A Modular Toolkit for Large Language Model Citation Generation

https://github.com/sjoshi804/sas-data-efficient-contrastive-learning

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Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least

https://github.com/skokec/detectron-traffic-signs

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Deep Learning for Large-Scale Traffic-Sign Detection and Recognition

https://github.com/skywalkerzhang/Defeasible_Visual_Entailment

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Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization

https://github.com/slab-nlp/cog-gb-eval

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Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution

https://github.com/slinusc/medical_RAG_system

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Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation

https://github.com/smart-task/smart-dataset

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SeMantic AnsweR Type prediction task (SMART) at ISWC 2020 Semantic Web Challenge

https://github.com/smartmedia-ai/norglm

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NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian

https://github.com/smilewhc/doctabqa

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DocTabQA: Answering Questions from Long Documents Using Tables

https://github.com/snap-stanford/greaselm

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GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

https://github.com/snap-stanford/med-flamingo

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Med-Flamingo: a Multimodal Medical Few-shot Learner

https://github.com/snap-stanford/pretrain-gnns/

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Strategies for Pre-training Graph Neural Networks

https://github.com/snova-jonathanl/hudocvqa

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Synthetic Document Question Answering in Hungarian

https://github.com/snu-mllab/kvzip

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KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

https://github.com/snumprlab/SRT

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ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO

https://github.com/snumprlab/isr-dpo

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ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO

https://github.com/social-ai-studio/pro-cap

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Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection

https://github.com/socialfoundations/folktexts

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Evaluating language models as risk scores

https://github.com/soco-ai/SF-QA

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SF-QA: Simple and Fair Evaluation Library for Open-domain Question Answering

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