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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nicpopovic/stoke
공식 코드https://github.com/nidryen-zh/privacyannotation
공식 코드Automated Privacy Information Annotation in Large Language Model Interactions
https://github.com/nidryen-zh/questionerawareresponder
공식 코드Personalized LLM for Generating Customized Responses to the Same Query from Different Users
https://github.com/nightingal3/llm-pretraining-behaviours
공식 코드https://github.com/nighttime/entgraph
공식 코드https://github.com/nii-yamagishilab/xfever
공식 코드https://github.com/nikitas-theo/BERTtimeStories
공식 코드BERTtime Stories: Investigating the Role of Synthetic Story Data in Language pre-training
https://github.com/nikivanstein/LLaMEA
공식 코드LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
https://github.com/nikosefth/freedom
공식 코드Composed Image Retrieval for Training-Free Domain Conversion
https://github.com/nineabyss/zerog
공식 코드ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
https://github.com/ningwang2049/laiar
공식 코드https://github.com/ninjatech-ai/mple
공식 코드Multi-Programming Language Ensemble for Code Generation in Large Language Model
https://github.com/nishantsubramani/steering_vectors
공식 코드Extracting Latent Steering Vectors from Pretrained Language Models
https://github.com/nishiwen1214/rtd-electra
공식 코드https://github.com/niteshroyal/solvinghardanalogyquestions
공식 코드Solving Hard Analogy Questions with Relation Embedding Chains
https://github.com/nitwtog/iss
공식 코드Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
https://github.com/niuchuangnn/vllm_structure
공식 코드https://github.com/niuzaisheng/screenagent
공식 코드ScreenAgent: A Vision Language Model-driven Computer Control Agent
https://github.com/niuzaisheng/screenexplorer
공식 코드ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI World
https://github.com/niyatibafna/bli-for-indic-languages
공식 코드https://github.com/nkanak/brag-fake-news-campaigns
공식 코드https://github.com/nkluge-correa/tucano
공식 코드https://github.com/nku-hlt/diffeditor
공식 코드DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency
https://github.com/nl2code/attentioncoder
공식 코드Improving Natural Language Capability of Code Large Language Model
https://github.com/nl4opt/nl4opt-competition
공식 코드NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
https://github.com/nlp-bin/silc-efsa
공식 코드SILC-EFSA: Self-aware In-context Learning Correction for Entity-level Financial Sentiment Analysis
https://github.com/nlp-uoregon/trankit
공식 코드Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
https://github.com/nlp-uoregon/ullme
공식 코드ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
https://github.com/nlp-waseda/comet-atomic-ja
공식 코드PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model
https://github.com/nlp2ct/hil-mt
공식 코드Human-in-the-loop Machine Translation with Large Language Model
https://github.com/nlpaueb/greek-bert
공식 코드https://github.com/nlpdata/strategy
공식 코드Improving Machine Reading Comprehension with General Reading Strategies
https://github.com/nlpnorth/snakmodel
공식 코드SnakModel: Lessons Learned from Training an Open Danish Large Language Model
https://github.com/nlpods/layerattpooler
공식 코드https://github.com/nobel861017/cs_zs_baseline
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.