https://github.com/alab-nii/multi-hop-analysis
공식 코드Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alatteaday/mrp_hate-speech-detection
공식 코드Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
https://github.com/alebryvas/berk266
공식 코드Abstractive Summarization of Spoken andWritten Instructions with BERT
https://github.com/alekseevskaia/orderbkd
공식 코드https://github.com/alemiaschi/linguistically_informed_t5
공식 코드Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)
https://github.com/alephic/ParaPattern
공식 코드https://github.com/alex-cremers/rsa-exh-priors
공식 코드Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs
https://github.com/alex-fabbri/answersumm
공식 코드AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
https://github.com/alexa/dialoglue
공식 코드https://github.com/alexa/wow-plus-plus
공식 코드https://github.com/alexa/wqa-cascade-transformers
공식 코드The Cascade Transformer: an Application for Efficient Answer Sentence Selection
https://github.com/alexa/wqa_tanda
공식 코드TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
https://github.com/alexandrepsq/information-restrited-nlms
공식 코드https://github.com/alexjonesnlp/xlanalysis5k
공식 코드A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space
https://github.com/alexwarstadt/data_generation
공식 코드Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
https://github.com/ali-bahrainian/rag_best_practices
공식 코드Enhancing Retrieval-Augmented Generation: A Study of Best Practices
https://github.com/alibaba-damo-academy/spokennlp
공식 코드Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
https://github.com/alibaba-nlp/kb-ner
공식 코드DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
https://github.com/alibaba/AliceMind
공식 코드VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
https://github.com/alibaba/simcse-with-cards
공식 코드https://github.com/alibabaresearch/damo-convai
공식 코드Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
https://github.com/aliciasun/natural-prompts
공식 코드Using Natural Sentences for Understanding Biases in Language Models
https://github.com/alignmentresearch/vlmrm
공식 코드Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
https://github.com/alipay/Ant-Multi-Modal-Framework
공식 코드https://github.com/alipay/StructuredLM_RTDT
공식 코드https://github.com/alirezasalemi7/SemEval2021-Toxic-Spans-Detection
공식 코드https://github.com/alirezasalemi7/arman
공식 코드https://github.com/alisafaya/mukayese
공식 코드https://github.com/alisawuffles/ambient
공식 코드https://github.com/alisonhc/change-complexity
공식 코드Learning to Paraphrase Sentences to Different Complexity Levels
https://github.com/allanj/ner_with_dependency
공식 코드https://github.com/allenai/SciREX
공식 코드SciREX: A Challenge Dataset for Document-Level Information Extraction
https://github.com/allenai/abnirml
공식 코드https://github.com/allenai/aspire
공식 코드Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
https://github.com/allenai/drug-combo-extraction
공식 코드A Dataset for N-ary Relation Extraction of Drug Combinations
https://github.com/allenai/multicite
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.