Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yuxixie/coral
공식 코드COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement
https://github.com/yuxixie/v-dpo
공식 코드https://github.com/yuyouyu32/beyonddialogue
공식 코드BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
https://github.com/yuzhaouoe/pretraining-data-packing
공식 코드Analysing The Impact of Sequence Composition on Language Model Pre-Training
https://github.com/yxuansu/contrastive_search_is_what_you_need
공식 코드Contrastive Search Is What You Need For Neural Text Generation
https://github.com/yyDing1/DS-NER
공식 코드Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations
https://github.com/yya518/FinBERT
공식 코드FinBERT: A Pretrained Language Model for Financial Communications
https://github.com/yygroup/autocfd
공식 코드Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
https://github.com/yynil/rwkvinside
공식 코드ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer
https://github.com/yyy-apple/sys-nl-feedback
공식 코드https://github.com/yzh119/BPT
공식 코드BP-Transformer: Modelling Long-Range Context via Binary Partitioning
https://github.com/yzhan238/CGExpan
공식 코드https://github.com/z1zs/mmneuron
공식 코드MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
https://github.com/z1zs/mmunlearner
공식 코드https://github.com/z2sj4t/periguru
공식 코드https://github.com/zacharyhorvitz/tinystyler
공식 코드TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
https://github.com/zackschen/coin
공식 코드CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
https://github.com/zaghe568/pacte-polarized-topics-detection
공식 코드Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
https://github.com/zaiwen/cropgpt
공식 코드ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
https://github.com/zalkikar/mlm-bias
공식 코드Measuring Social Biases in Masked Language Models by Proxy of Prediction Quality
https://github.com/zc-zhao/drivemonkey
공식 코드Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
https://github.com/zd11024/uniref
공식 코드Towards Unifying Reference Expression Generation and Comprehension
https://github.com/zdou0830/DAFE
공식 코드Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
https://github.com/zdy93/fata-trans
공식 코드FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data
https://github.com/zebrabeast/DenseTrack-
공식 코드DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy
https://github.com/zefang-liu/InvAgent
공식 코드InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
https://github.com/zeinsh/Legal-Docs-Large-MLTC
공식 코드Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models
https://github.com/zeinsh/lenta_short_sentences
공식 코드https://github.com/zeng-wh/futuretod
공식 코드FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue
https://github.com/zeng-yirong/ru22fact
공식 코드RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
https://github.com/zengrh3/StructuralMemory
공식 코드https://github.com/zengxyyu/PMI-TR
공식 코드A Framework for Inference Inspired by Human Memory Mechanisms
https://github.com/zengyan-97/cclm
공식 코드Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
https://github.com/zengzp0912/SEAME-dev-set
공식 코드On the End-to-End Solution to Mandarin-English Code-switching Speech Recognition
https://github.com/zetangforward/detox-cot
공식 코드CMD: a framework for Context-aware Model self-Detoxification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.