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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/jmhb0/microvqa

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MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

https://github.com/jmnian/weak_label_for_rag

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W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering

https://github.com/jmnian/wrag

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W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering

https://github.com/jnanliu/situatedthinker

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SituatedThinker: Grounding LLM Reasoning with Real-World through Situated Thinking

https://github.com/jnhwkim/nips-mrn-vqa

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Multimodal Residual Learning for Visual QA

https://github.com/joe-rabbit/videoqa_pilot_study

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Eyes on the Road: State-of-the-Art Video Question Answering Models Assessment for Traffic Monitoring Tasks

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

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Towards Continual Knowledge Learning of Language Models

https://github.com/joeljang/elm

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Exploring the Benefits of Training Expert Language Models over Instruction Tuning

https://github.com/joergfranke/ADNC

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Robust and Scalable Differentiable Neural Computer for Question Answering

https://github.com/joey1993/ad-themes

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Recommending Themes for Ad Creative Design via Visual-Linguistic Representations

https://github.com/joez17/videoniah

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Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs

https://github.com/johncaged/OPT_Questioner

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Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner

https://github.com/jokersio-tsy/autot2t

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Automated Text-to-Table for Reasoning-Intensive Table QA: Pipeline Design and Benchmarking Insights

https://github.com/jokieleung/LPF-VQA

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LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

https://github.com/jonas-becker/text-generation

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Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges

https://github.com/jonathanherzig/commonsenseqa

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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

https://github.com/jongwoopark7978/LVNet

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Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA

https://github.com/jordane95/procqa

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ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search

https://github.com/joseadrian3/neuroembed

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Enhancing Omics Cohort Discovery for Research on Neurodegeneration through Ontology-Augmented Embedding Models

https://github.com/joshuafeinglass/vl-detector-eval

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Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding

https://github.com/joycexu02/qa_evaluation

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Question-Answering Approach to Evaluating Legal Summaries

https://github.com/joykirat18/syrelm

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Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning

https://github.com/jpthu17/HBI

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Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

https://github.com/jqtangust/hawk

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Hawk: Learning to Understand Open-World Video Anomalies

https://github.com/jssprz/video_captioning_datasets

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A Comprehensive Review of the Video-to-Text Problem

https://github.com/jsuarez5341/Efficient-Dynamic-Batching

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Effective Approaches to Batch Parallelization for Dynamic Neural Network Architectures

https://github.com/jsyoon0823/TimeGAN

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Time-series Transformer Generative Adversarial Networks

https://github.com/jtonglet/seer

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SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA

https://github.com/juand-r/rankalign

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RankAlign: A Ranking View of the Generator-Validator Gap in Large Language Models

https://github.com/juletx/self-translate

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Do Multilingual Language Models Think Better in English?

https://github.com/jumxglhf/grape

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Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

https://github.com/jun-jie-huang/otter

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Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA

https://github.com/junqizhao888/buzz-llm

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BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inference

https://github.com/junwoopark92/mimic-sparql

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Knowledge Graph-based Question Answering with Electronic Health Records

https://github.com/junyiye/textflow

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Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding

https://github.com/justairr/satori-r1

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SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.