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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/ranqiu92/NumNet

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NumNet: Machine Reading Comprehension with Numerical Reasoning

https://github.com/rasmusbergpalm/recurrent-relational-networks

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Recurrent Relational Networks

https://github.com/raybears/cot-transparency

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Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought

https://github.com/realtimeqa/realtimeqa_public

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RealTime QA: What's the Answer Right Now?

https://github.com/reamdc1/gene_block_evolution

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An Event-Driven Approach for Studying Gene Block Evolution in Bacteria

https://github.com/reason-wang/nat

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Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents

https://github.com/recitalAI/QuestEval

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QuestEval: Summarization Asks for Fact-based Evaluation

https://github.com/recitalAI/summa-qa

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Answers Unite! Unsupervised Metrics for Reinforced Summarization Models

https://github.com/reglab/casehold

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When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset

https://github.com/regnlp/obligationclassifier

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RIRAG: Regulatory Information Retrieval and Answer Generation

https://github.com/regnlp/obliqadataset

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RIRAG: Regulatory Information Retrieval and Answer Generation

https://github.com/relaxed-system-lab/tqa-bench

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TQA-Bench: Evaluating LLMs for Multi-Table Question Answering with Scalable Context and Symbolic Extension

https://github.com/reml-group/alo

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Adaptive loose optimization for robust question answering

https://github.com/reml-group/dog

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Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models

https://github.com/reml-group/fortisavqa

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FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning

https://github.com/reml-group/music-avqa-r

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Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering

https://github.com/renatolfc/chimera-stf

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Using link and content over time for embedding generation in Dynamic Attributed Networks

https://github.com/rendanim/mphayaner

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MphayaNER: Named Entity Recognition for Tshivenda

https://github.com/renmengye/imageqa-public

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Exploring Models and Data for Image Question Answering

https://github.com/renshuhuai-andy/timechat

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TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

https://github.com/rese1f/MovieChat

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MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

https://github.com/responsibleailab/halo

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HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision Making

https://github.com/reutapel/meeqa

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MeeQA: Natural Questions in Meeting Transcripts

https://github.com/rgsachin/DMTN

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Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)

https://github.com/rgu-iit-bt/cbr-for-legal-rag

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CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

https://github.com/rh-dang/ecbench

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ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark

https://github.com/rifkiaputri/id-csqa

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Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese

https://github.com/riflezhang/llava-hound-dpo

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Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

https://github.com/rikeilong/bay-cat

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CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios

https://github.com/rikeilong/mcd-foravqa

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Answering Diverse Questions via Text Attached with Key Audio-Visual Clues

https://github.com/riken-dko/generation_sparql

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SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph

https://github.com/ritaranx/collab-rag

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Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration

https://github.com/ritwikmishra/indicgenqa

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Long-context Non-factoid Question Answering in Indic Languages

https://github.com/ritwikmishra/munfquad

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Multilingual Non-Factoid Question Answering with Answer Paragraph Selection

https://github.com/rizquuula/QASiNa

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QASiNa: Religious Domain Question Answering using Sirah Nabawiyah

https://github.com/rkadlec/asreader

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Text Understanding with the Attention Sum Reader Network

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