https://github.com/Accelerator66/latent-gaussian-process-priors
공식 코드Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
Papers with Code 아카이브
Answer Selection
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Answer Selection is the task of identifying the correct answer to a question from a pool of candidate answers. This task can be formulated as a classification or a ranking problem.
Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CONE-MT/multilingual_reasoning
공식 코드https://github.com/UKPLab/emnlp2019-duplicate_question_detection
공식 코드Neural Duplicate Question Detection without Labeled Training Data
https://github.com/amazon-research/wqa-multi-sentence-inference
공식 코드Paragraph-based Transformer Pre-training for Multi-Sentence Inference
https://github.com/bdhingra/ga-reader
공식 코드https://github.com/benywon/ComQA
공식 코드ComQA:Compositional Question Answering via Hierarchical Graph Neural Networks
https://github.com/byu-pccl/leveraging-llms-for-mcqa
공식 코드Leveraging Large Language Models for Multiple Choice Question Answering
https://github.com/david-yoon/propagate-selector
공식 코드Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
https://github.com/declare-lab/CICERO
공식 코드CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
https://github.com/dengyang17/MTQA
공식 코드https://github.com/dengyang17/wikihowQA
공식 코드Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
https://github.com/fangyihao/hgot
공식 코드https://github.com/fudanvi/generative-abstract-reasoning
공식 코드Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
https://github.com/hitvoice/RE2
공식 코드Simple and Effective Text Matching with Richer Alignment Features
https://github.com/isakzhang/answer-helpfulness-prediction
공식 코드https://github.com/jacoxu/HMN4QA
공식 코드Hierarchical Memory Networks for Answer Selection on Unknown Words
https://github.com/laituan245/StackExchangeQA
공식 코드https://github.com/lxmeng/mms_answer_selection
공식 코드https://github.com/national-center-for-ai-saudi-arabia/lm-evaluation-harness
공식 코드When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
https://github.com/npow/ubottu
공식 코드The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
https://github.com/open-compass/ada-leval
공식 코드Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
https://github.com/shuohangwang/SeqMatchSeq
공식 코드https://github.com/shuzi/insuranceQA
공식 코드Applying Deep Learning to Answer Selection: A Study and An Open Task
https://github.com/siyue-zhang/SynTableQA
공식 코드SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA
https://github.com/stareru/csqa_debertav3
공식 코드https://github.com/starsuzi/as-convqa
공식 코드https://github.com/svakulenk0/QRQA
공식 코드https://github.com/tahmedge/BERT-for-Answer-Selection
공식 코드Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
https://github.com/ukplab/emnlp2020-multicqa
공식 코드MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
https://github.com/vanzytay/NIPS2018_RCRN
공식 코드https://github.com/yinwenpeng/Answer_Selection
공식 코드ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
https://github.com/yinzhangyue/AoR
공식 코드https://github.com/ysngki/mixencoder
공식 코드Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
https://github.com/yuanbit/FinBERT-QA
공식 코드FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
https://github.com/zhouzihao501/nlpcc2023-shared-task3-chinesemwp
공식 코드https://github.com/AI-metrics/AI-metrics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.