Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hubertsiuzdak/snac
공식 코드https://github.com/hubiodatalab/selformer
공식 코드SELFormer: Molecular Representation Learning via SELFIES Language Models
https://github.com/huggingface/autotrain-advanced
공식 코드https://github.com/huggingface/roots-search-tool
공식 코드https://github.com/huggingface/swift-coreml-transformers
공식 코드DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/huggingface/transformers
공식 코드DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
https://github.com/hughvd/um-cai-fellowship
공식 코드From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries
https://github.com/huichizhou/trustrag
공식 코드https://github.com/huihuichyan/unlimitedjudge
공식 코드https://github.com/humainlab/personalized_rlhf
공식 코드Personalized Language Modeling from Personalized Human Feedback
https://github.com/humainlab/understand_marginpo
공식 코드A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
https://github.com/humanlab/hart
공식 코드https://github.com/humanlab/whispa
공식 코드https://github.com/hunter-ddm/stablemoe
공식 코드https://github.com/huntila/scholarly-kgqa
공식 코드Leveraging LLMs in Scholarly Knowledge Graph Question Answering
https://github.com/hushell/deep-symmetry
공식 코드https://github.com/hushes-minutes/contrasting_attention
공식 코드Enhancing elusive clues in knowledge learning by contrasting attention of language models
https://github.com/hustvl/MaTVLM
공식 코드MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling
https://github.com/hustvl/evf-sam
공식 코드EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
https://github.com/hustvl/groundingsuite
공식 코드GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding
https://github.com/hwanchang00/CoPriva
공식 코드https://github.com/hwnam831/ibert
공식 코드I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
https://github.com/hwq0726/sdohenpkg
공식 코드https://github.com/hyeyoung1218/conquer
공식 코드https://github.com/hysonlab/videberta
공식 코드ViDeBERTa: A powerful pre-trained language model for Vietnamese
https://github.com/hyunsoocho77/lacl-official
공식 코드https://github.com/hzfinfdu/diffusion-bert
공식 코드DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
https://github.com/i22024/lvlm2p
공식 코드Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation
https://github.com/iPieter/RobBERT
공식 코드https://github.com/ia-gu/vision-language-in-context-learning-driven-few-shot-visual-inspection-model
공식 코드Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
https://github.com/iaar-shanghai/datg
공식 코드Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
https://github.com/iaar-shanghai/saferag
공식 코드SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
https://github.com/iabhijith/bias-causal-analysis
공식 코드https://github.com/iai-group/sigir2019-table2vec
공식 코드Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval
https://github.com/iamryanshengwang/prometheus-chatbot
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.