https://github.com/allenai/primer
공식 코드PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
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/allenai/qasc
공식 코드QASC: A Dataset for Question Answering via Sentence Composition
https://github.com/allenai/real-toxicity-prompts
공식 코드RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
https://github.com/allenai/scholarphi
공식 코드https://github.com/allenai/scibert
공식 코드https://github.com/allenai/scidocs
공식 코드SPECTER: Document-level Representation Learning using Citation-informed Transformers
https://github.com/allenai/sequential_sentence_classification
공식 코드Pretrained Language Models for Sequential Sentence Classification
https://github.com/allenai/specter
공식 코드SPECTER: Document-level Representation Learning using Citation-informed Transformers
https://github.com/allenbao64/csc2515-project
공식 코드Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews
https://github.com/allenschmaltz/grammar
공식 코드https://github.com/allenschmaltz/word_ordering
공식 코드https://github.com/alon-albalak/D-REX
공식 코드https://github.com/altsoph/artificial_degree_modifiers
공식 코드Connecting degree and polarity: An artificial language learning study
https://github.com/amaai-lab/prebit
공식 코드https://github.com/amanbasu/sentence-simplification
공식 코드Explain to me like I am five -- Sentence Simplification Using Transformers
https://github.com/amao0o0/synwmd
공식 코드SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation
https://github.com/amarasovic/neural-abstract-anaphora
공식 코드https://github.com/amazingljy1206/argtersely
공식 코드Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation
https://github.com/amazon-research/amazon-multilingual-counterfactual-dataset
공식 코드https://github.com/amazon-research/contrastive-controlled-mt
공식 코드CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality
https://github.com/amazon-research/dse
공식 코드Learning Dialogue Representations from Consecutive Utterances
https://github.com/amazon-research/label-aware-pretrain
공식 코드Label Semantic Aware Pre-training for Few-shot Text Classification
https://github.com/amazon-research/machine-translation-gender-eval
공식 코드https://github.com/amazon-research/sentence-representations
공식 코드Pairwise Supervised Contrastive Learning of Sentence Representations
https://github.com/amazon-research/wqa-cerberus
공식 코드https://github.com/amazon-research/wqa-multi-sentence-inference
공식 코드Paragraph-based Transformer Pre-training for Multi-Sentence Inference
https://github.com/amazon-science/SigExt
공식 코드Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
https://github.com/amazon-science/crispo
공식 코드CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
https://github.com/amazon-science/doc-mt-metrics
공식 코드https://github.com/amazon-science/e2e-docie
공식 코드REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
https://github.com/amazon-science/m3t-multi-modal-translation-bench
공식 코드M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation
https://github.com/amazon-science/multilingual-robust-contrastive-pretraining
공식 코드https://github.com/amazon-science/refchecker
공식 코드https://github.com/amazon-science/tofueval
공식 코드TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
https://github.com/ameenali/videomatch
공식 코드https://github.com/aminbigdeli/empra
공식 코드EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.