https://github.com/louiskwoklf/llms-cultural-adaptability
공식 코드Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas
Papers with Code 아카이브
Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lowlypalace/global-decoding
공식 코드https://github.com/lsh0520/3d-molm
공식 코드https://github.com/ltgoslo/brent
공식 코드BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
https://github.com/ltgoslo/definition_modeling
공식 코드https://github.com/ltgoslo/factorizer
공식 코드https://github.com/ltgoslo/gpt-bert
공식 코드https://github.com/ltgoslo/ltg-bert
공식 코드Trained on 100 million words and still in shape: BERT meets British National Corpus
https://github.com/ltgoslo/more-room-for-language
공식 코드More Room for Language: Investigating the Effect of Retrieval on Language Models
https://github.com/ltgoslo/nocola
공식 코드https://github.com/lu-wo/whisbert
공식 코드WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words
https://github.com/lucadiliello/transformers-framework
공식 코드https://github.com/lucas-ty/llm_implicit_reference
공식 코드You Know What I'm Saying: Jailbreak Attack via Implicit Reference
https://github.com/lucasgris/wav2vec4bp
공식 코드https://github.com/lucasnfe/puct-music-emotion
공식 코드Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search
https://github.com/luchang1113/hep-llm-play-starcraftii
공식 코드https://github.com/luchris429/DiscoPOP
공식 코드Discovering Preference Optimization Algorithms with and for Large Language Models
https://github.com/lucidrains/memorizing-transformers-pytorch
공식 코드https://github.com/luckybian/isy5001
공식 코드https://github.com/ludanruan/clip4vla
공식 코드Accommodating Audio Modality in CLIP for Multimodal Processing
https://github.com/luisamaerz/knowman
공식 코드https://github.com/luka-group/mDPO
공식 코드mDPO: Conditional Preference Optimization for Multimodal Large Language Models
https://github.com/luka-group/monopara
공식 코드Monotonic Paraphrasing Improves Generalization of Language Model Prompting
https://github.com/luka-group/prix-lm
공식 코드Prix-LM: Pretraining for Multilingual Knowledge Base Construction
https://github.com/lukasbahr/kg-rag-fmea
공식 코드Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
https://github.com/lukeforeveryoung/ureader
공식 코드https://github.com/lukeming-tsinghua/instruction-tuning-for-open-world-ie
공식 코드PIVOINE: Instruction Tuning for Open-world Information Extraction
https://github.com/lukeyoffe/debunc
공식 코드DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
https://github.com/lumia-group/ponderinglm
공식 코드https://github.com/luo-junyu/awesome-agent-papers
공식 코드Large Language Model Agent: A Survey on Methodology, Applications and Challenges
https://github.com/luohongyin/PILM
공식 코드Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
https://github.com/luohongyin/langcode
공식 코드Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
https://github.com/luomingshuang/m3gpt
공식 코드M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation
https://github.com/luyug/Condenser
공식 코드Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
https://github.com/lwaekfjlk/trams
공식 코드TRAMS: Training-free Memory Selection for Long-range Language Modeling
https://github.com/lyn-lucy/msd
공식 코드Speculative Decoding Reimagined for Multimodal Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.