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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/huawei-noah/CV-backbones

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Transformer in Transformer

https://github.com/huawei-noah/noah-research

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XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

https://github.com/huawei-noah/noah-research/tree/master/xero_align

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XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

https://github.com/huaxiuyao/KGML

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Knowledge-Aware Meta-learning for Low-Resource Text Classification

https://github.com/huda-hakami/learning-to-borrow-for-kgs

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Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion

https://github.com/huggingface/autotrain-advanced

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AutoTrain: No-code training for state-of-the-art models

https://github.com/huggingface/pytorch-transformers

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Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models

https://github.com/huggingface/setfit

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Efficient Few-Shot Learning Without Prompts

https://github.com/huggingface/transformers

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Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

https://github.com/huhailinguist/argugpt

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ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models

https://github.com/huiguanlab/nrccr

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Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning

https://github.com/huijelee/elf22

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ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls

https://github.com/huiyegit/matchxml

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MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification

https://github.com/hulianyuyy/adabrowse

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AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition

https://github.com/huminghao16/SpanABSA

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Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

https://github.com/huntila/scholarly-kgqa

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Leveraging LLMs in Scholarly Knowledge Graph Question Answering

https://github.com/huspacy/huspacy

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Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP Pipelines

https://github.com/hustvl/rils

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RILS: Masked Visual Reconstruction in Language Semantic Space

https://github.com/huynt-plus/papers

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A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking

https://github.com/hwang1996/SGN

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Structure-Aware Generation Network for Recipe Generation from Images

https://github.com/hwanheelee1993/KPQA

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KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

https://github.com/hwazni/qcoref

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Towards Transparency in Coreference Resolution: A Quantum-Inspired Approach

https://github.com/hyfred/substitute-words-with-ranking

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Learning to Substitute Words with Model-based Score Ranking

https://github.com/hyintell/topicx

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Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

https://github.com/hyp1231/amazonreviews2023

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Bridging Language and Items for Retrieval and Recommendation

https://github.com/hyu-nlp/hyper-cl

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Hyper-CL: Conditioning Sentence Representations with Hypernetworks

https://github.com/i-need-sleep/eval_attack

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Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks

https://github.com/i4ds/swisstext-2022-swiss-german-shared-task

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2nd Swiss German Speech to Standard German Text Shared Task at SwissText 2022

https://github.com/i4ds/whisper-finetune

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Fine-tuning Whisper on Low-Resource Languages for Real-World Applications

https://github.com/iVMCL/AOGNets

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AOGNets: Compositional Grammatical Architectures for Deep Learning

https://github.com/iaar-shanghai/mara

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Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models

https://github.com/iampushpdeep/gender-bias-hi-en-eval

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Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation

https://github.com/ibeltagy/rrr

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Representing Meaning with a Combination of Logical and Distributional Models

https://github.com/ibm/docamr

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DocAMR: Multi-Sentence AMR Representation and Evaluation

https://github.com/ibm/mismatch-eval

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MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types

https://github.com/ibm/quality-controlled-paraphrase-generation

공식 코드

Quality Controlled Paraphrase Generation

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