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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jmcrego/bisync
공식 코드BiSync: A Bilingual Editor for Synchronized Monolingual Texts
https://github.com/jmeadows17/physnlu
공식 코드https://github.com/jmhessel/multi-retrieval
공식 코드Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
https://github.com/joestacey/robust-nli
공식 코드Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
https://github.com/joey1993/pun-recognition
공식 코드"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
https://github.com/joeyz0z/meacap
공식 코드https://github.com/johngiorgi/seq2rel
공식 코드A sequence-to-sequence approach for document-level relation extraction
https://github.com/johntailor/bertsenclu
공식 코드Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences
https://github.com/johntailor/ft-topic
공식 코드https://github.com/jonathanqzheng/neo-bench
공식 코드NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
https://github.com/jongwooko/musc
공식 코드Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks
https://github.com/josephenguehard/time_interpret
공식 코드Sequential Integrated Gradients: a simple but effective method for explaining language models
https://github.com/joshprk/agentrec
공식 코드AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
https://github.com/joshua-zingale/plug-and-play-rst-ctg
공식 코드Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
https://github.com/josiahwang/multisubs-eval
공식 코드MultiSubs: A Large-scale Multimodal and Multilingual Dataset
https://github.com/josifgrabocka/neuralwarp
공식 코드https://github.com/jouniluoma/bert-ner-cmv
공식 코드Exploring Cross-sentence Contexts for Named Entity Recognition with BERT
https://github.com/joyyyjen/Inference-Based-Learner-Like-Agent
공식 코드Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
https://github.com/jpmorganchase/llm-email-spam-detection
공식 코드Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
https://github.com/jpqiang/chinese-idiom-paraphrasing
공식 코드https://github.com/jssprz/video_captioning_datasets
공식 코드https://github.com/ju-resplande/dlb_absapt2022
공식 코드Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
https://github.com/juditacs/morphology-probes
공식 코드https://github.com/jumelet/prime-factors
공식 코드Do Language Models Exhibit Human-like Structural Priming Effects?
https://github.com/junjiechen-chris/improving-unsupervised-constituency-parsing-via-maximizing-semantic-information
공식 코드Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
https://github.com/junjiehu/CEQE
공식 코드https://github.com/juntaoy/biaffine-ner
공식 코드https://github.com/justinmuecke/scisen
공식 코드https://github.com/jvladika/improving-health-qa
공식 코드Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
https://github.com/jwdanieljung/safe-embed
공식 코드Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
https://github.com/jwieting/paraphrastic-representations-at-scale
공식 코드https://github.com/jxhe/sparse-text-prototype
공식 코드https://github.com/jxmorris12/second-order-adversarial-examples
공식 코드https://github.com/jyhuang36/intersent
공식 코드https://github.com/jzbjyb/flare
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.