https://github.com/hesfahanizadeh/neuralinformationshaping
공식 코드TexShape: Information Theoretic Sentence Embedding for Language Models
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/heshuting555/dshmp
공식 코드Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
https://github.com/hexuandeng/mono4simt
공식 코드Improving Simultaneous Machine Translation with Monolingual Data
https://github.com/heyuan9/medscore
공식 코드MedScore: Factuality Evaluation of Free-Form Medical Answers
https://github.com/hhexiy/pungen
공식 코드https://github.com/hiarsal/dae-gan
공식 코드DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis
https://github.com/hillary-dawkins/genderswappedstereoset
공식 코드Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
https://github.com/hillzhang1999/mucgec
공식 코드MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction
https://github.com/hillzhang1999/robustgec
공식 코드RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation
https://github.com/him1411/edgar10q-dataset
공식 코드https://github.com/himel1996/newsbiasdetector
공식 코드To Bias or Not to Bias: Detecting bias in News with bias-detector
https://github.com/hjznlp/infuse
공식 코드https://github.com/hkbunlp/wsdms-emnlp2023
공식 코드https://github.com/hkulyc/legalai
공식 코드Court Judgement Labeling Using Topic Modeling and Syntactic Parsing
https://github.com/hkust-knowcomp/geia
공식 코드https://github.com/hkust-nlp/llmeval_sum_factual
공식 코드Evaluating Factual Consistency of Summaries with Large Language Models
https://github.com/hkust-nlp/syncse
공식 코드https://github.com/hlt-bme-hu/SentenceLength
공식 코드https://github.com/hlt-mt/fbk-fairseq
공식 코드https://github.com/hly1998/RankingSentenceGeneration
공식 코드Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
https://github.com/hmohebbi/explain-probing-results
공식 코드Exploring the Role of BERT Token Representations to Explain Sentence Probing Results
https://github.com/hmt2014/aspectquad
공식 코드Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
https://github.com/hongwang600/Lifelong_Relation_Detection
공식 코드Sentence Embedding Alignment for Lifelong Relation Extraction
https://github.com/hotpotqa/hotpot
공식 코드HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
https://github.com/howardhsu/ASC_failure
공식 코드A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
https://github.com/hplt-project/hplt-textpipes
공식 코드An Expanded Massive Multilingual Dataset for High-Performance Language Technologies
https://github.com/hppRC/defsent
공식 코드https://github.com/hpprc/simple-simcse-ja
공식 코드https://github.com/hpzhang94/diffusum
공식 코드DiffuSum: Generation Enhanced Extractive Summarization with Diffusion
https://github.com/hpzhang94/hegel_sum
공식 코드HEGEL: Hypergraph Transformer for Long Document Summarization
https://github.com/hsajjad/transformers
공식 코드On the Effect of Dropping Layers of Pre-trained Transformer Models
https://github.com/hsqmlzno1/MGAN
공식 코드Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
https://github.com/hsu-chia-ming/prompt-xre
공식 코드https://github.com/htlou/stream-aligner
공식 코드Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction
https://github.com/htsucml/TiMoS
공식 코드Situation and Behavior Understanding by Trope Detection on Films
https://github.com/huawei-noah/CV-Backbones/tree/master/tnt_pytorch
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.