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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/ysymyth/tree-of-thought-llm

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Tree of Thoughts: Deliberate Problem Solving with Large Language Models

https://github.com/ytongxie/medical-vision-and-language-tasks-and-methodologies-a-survey

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A Survey of Medical Vision-and-Language Applications and Their Techniques

https://github.com/ytyz1307zzh/RefAug

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Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

https://github.com/ytyz1307zzh/minimally_edited_questions

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Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions

https://github.com/yuanbit/FinBERT-QA

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FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models

https://github.com/yuanzhedong/cs224n_robustqa

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Build a Robust QA System with Transformer-based Mixture of Experts

https://github.com/yuchenliu98/comm

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From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models

https://github.com/yudhanjaya/eluwa

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Better Question-Answering Models on a Budget

https://github.com/yuecao0119/mminstruct

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MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity

https://github.com/yueche77/spin

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Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression

https://github.com/yueeeeeeee/caqa

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Contrastive Domain Adaptation for Question Answering using Limited Text Corpora

https://github.com/yueeeeeeee/self-supervised-qa

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Domain Adaptation for Question Answering via Question Classification

https://github.com/yueen-ma/awesome-vla

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A Survey on Vision-Language-Action Models for Embodied AI

https://github.com/yuehaowang/sogcn

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SoGCN: Second-Order Graph Convolutional Networks

https://github.com/yuehhanchen/monitoring-decomposition-attack

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Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors

https://github.com/yueqing-sun/jointlk

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JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering

https://github.com/yugjerry/conformal-alignment

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Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees

https://github.com/yuh-zha/alignscore

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AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

https://github.com/yuhangzang/contextdet

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Contextual Object Detection with Multimodal Large Language Models

https://github.com/yuhui-zh15/autoconverter

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Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation

https://github.com/yuhui-zh15/neqa

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Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models

https://github.com/yuhui1038/smi

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SMI: An Information-Theoretic Metric for Predicting Model Knowledge Solely from Pre-Training Signals

https://github.com/yui010206/sevila

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Self-Chained Image-Language Model for Video Localization and Question Answering

https://github.com/yujungheo/kbvqa-public

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Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering

https://github.com/yuki-asuuna/umwp

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Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem

https://github.com/yukw777/tglg

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Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models

https://github.com/yuleiniu/cfvqa

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Counterfactual VQA: A Cause-Effect Look at Language Bias

https://github.com/yuleiniu/introd

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Introspective Distillation for Robust Question Answering

https://github.com/yuleiniu/rva

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Recursive Visual Attention in Visual Dialog

https://github.com/yuliang-liu/monkey

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Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models

https://github.com/yuliang-liu/multimodalocr

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OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models

https://github.com/yuliangcai2022/clumo

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CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering

https://github.com/yunhaoyang234/Multi-Filter-Seq2Seq-Model

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Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq Model

https://github.com/yunx-z/combo

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Merging Generated and Retrieved Knowledge for Open-Domain QA

https://github.com/yunxinli/lingcloud

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LMEye: An Interactive Perception Network for Large Language Models

https://github.com/yusun-work/reasonmed

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ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning

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