https://github.com/jhaprince/bullyexplain
공식 코드Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation
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/jhcknzzm/federated-learning-backdoor
공식 코드https://github.com/jhcross/span-parser
공식 코드Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
https://github.com/jhlau/acceptability-prediction-in-context
공식 코드How Furiously Can Colourless Green Ideas Sleep? Sentence Acceptability in Context
https://github.com/jhlau/topically-driven-language-model
공식 코드https://github.com/jhuang81/weak-sup-visual-grounding
공식 코드Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
https://github.com/jhupsycholing/RNNvsHumanSyntax
공식 코드Distinct patterns of syntactic agreement errors in recurrent networks and humans
https://github.com/jiacheng-xu/DiscoBERT
공식 코드https://github.com/jiacheng-xu/sum-interpret
공식 코드Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
https://github.com/jiacheng-xu/text-sum-uncertainty
공식 코드Understanding Neural Abstractive Summarization Models via Uncertainty
https://github.com/jiahao004/distillcse
공식 코드DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
https://github.com/jialuli-luka/SyntaxVLN
공식 코드Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
https://github.com/jiangguochaogg/toner
공식 코드ToNER: Type-oriented Named Entity Recognition with Generative Language Model
https://github.com/jiangjiechen/uncommongen
공식 코드Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
https://github.com/jiangjiechen/vence
공식 코드Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
https://github.com/jiangycTarheel/Adversarial-MultiHopQA
공식 코드https://github.com/jiangycTarheel/EPAr
공식 코드Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
https://github.com/jianhaochen-nju/tsdre
공식 코드Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
https://github.com/jianzongwu/robust-ref-seg
공식 코드https://github.com/jiasenlu/NeuralBabyTalk
공식 코드https://github.com/jiesutd/LatticeLSTM
공식 코드https://github.com/jiesutd/RerankNER
공식 코드https://github.com/jiho283/kg-gpt
공식 코드KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
https://github.com/jihuai-wpy/seqxgpt
공식 코드https://github.com/jin530/MelBERT
공식 코드https://github.com/jind11/Deep-PICO-Detection
공식 코드Advancing PICO Element Detection in Biomedical Text via Deep Neural Networks
https://github.com/jind11/HSLN-Joint-Sentence-Classification
공식 코드Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
https://github.com/jingqiangchen/kbsumm
공식 코드An entity-guided text summarization framework with relational heterogeneous graph neural network
https://github.com/jinhaoduan/sar
공식 코드https://github.com/jinhaoduan/shifting-attention-to-relevance
공식 코드https://github.com/jinhyunj/eatr
공식 코드Knowing Where to Focus: Event-aware Transformer for Video Grounding
https://github.com/jinnaiyuu/mbr-optimal-transport
공식 코드Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
https://github.com/jintangxue/wordfs
공식 코드Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection
https://github.com/jiyanggao/TALL
공식 코드https://github.com/jiyfeng/dclm
공식 코드https://github.com/jjy961228/ConCSE
공식 코드ConCSE: Unified Contrastive Learning and Augmentation for Code-Switched Embeddings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.