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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/windweller/Pragmatic-ISIC

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Pragmatic Issue-Sensitive Image Captioning

https://github.com/winogavil/winogavil-experiments

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WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models

https://github.com/wishever/coolant

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Cross-modal Contrastive Learning for Multimodal Fake News Detection

https://github.com/wissam-sib/dilbert

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Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering

https://github.com/wissingchen/cra-gqa

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Cross-modal Causal Relation Alignment for Video Question Grounding

https://github.com/wj210/NLI_ETP

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Plausible Extractive Rationalization through Semi-Supervised Entailment Signal

https://github.com/wjdghks950/discern-and-answer

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Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

https://github.com/wjk0925/slt2024-speechllm-speaker-understanding

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Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken Dialogue

https://github.com/wjko2/dcqa-discourse-comprehension-by-question-answering

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Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections

https://github.com/wjnwjn59/CLAugViVQA

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Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations

https://github.com/wjurayj/final_answer

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Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering

https://github.com/wkddydpf/continual-knowledge-learning

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Towards Continual Knowledge Learning of Language Models

https://github.com/wojciechkusa/systematic-review-datasets

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CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews

https://github.com/worldcuisines/worldcuisines

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WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

https://github.com/woshiyyya/DFGN-pytorch

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Dynamically Fused Graph Network for Multi-hop Reasoning

https://github.com/wowcz/longmit

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What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices

https://github.com/wpydcr/mes-rag

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MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG

https://github.com/wshi83/ehragent

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EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

https://github.com/wskbest/mfc-bench

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MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models

https://github.com/wtma/CharBERT

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CharBERT: Character-aware Pre-trained Language Model

https://github.com/wudapeng268/KBQA-Adapter

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Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

https://github.com/wuhy68/p-adapter

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p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

https://github.com/wuhy68/parameter-efficient-moe

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Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

https://github.com/wusize/f-lmm

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F-LMM: Grounding Frozen Large Multimodal Models

https://github.com/wut-idea/kp-pcr

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Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review

https://github.com/wutaiqiang/moslora

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Mixture-of-Subspaces in Low-Rank Adaptation

https://github.com/wuyike2000/CoTKR

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CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering

https://github.com/wuyike2000/retrieve-rewrite-answer

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Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering

https://github.com/wwxu21/AMR-SG

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Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering

https://github.com/wwxu21/cgr

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Exploiting Reasoning Chains for Multi-hop Science Question Answering

https://github.com/wyk-nku/distinguishing-vqa

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Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

https://github.com/wyl-willing/MindMap

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MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models

https://github.com/wyu97/GenRead

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Generate rather than Retrieve: Large Language Models are Strong Context Generators

https://github.com/wyu97/TransTD

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Technical Question Answering across Tasks and Domains

https://github.com/wzq016/pine

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Eliminating Position Bias of Language Models: A Mechanistic Approach

https://github.com/wzzheng/doe

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Doe-1: Closed-Loop Autonomous Driving with Large World Model

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