https://bitbucket.org/cloudygoose/ptb_rescore
공식 코드On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation
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://bitbucket.org/robvanderg/xsid
공식 코드https://bitbucket.org/tuhinch/imho-naacl2019
공식 코드https://git.openi.org.cn/liusc/3-6-liusicen-multi-modal-pretrain
공식 코드https://git.uwaterloo.ca/data-analytics-lab/symbolicgpt2
공식 코드SymbolicGPT: A Generative Transformer Model for Symbolic Regression
https://github.com/01-ai/yi
공식 코드https://github.com/072jiajia/image-text-co-decomposition
공식 코드Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation
https://github.com/0frett/po-uncertainty-benchmarking
공식 코드Benchmarking Large Language Model Uncertainty for Prompt Optimization
https://github.com/0nutation/slmtokbench
공식 코드SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
https://github.com/0nutation/speechgpt
공식 코드SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
https://github.com/0nutation/uslm
공식 코드SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
https://github.com/12tqian/layered-unlearning
공식 코드https://github.com/17385/TreeBERT
공식 코드TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
https://github.com/20118/defensewithphonetics
공식 코드Elevating Code-mixed Text Handling through Auditory Information of Words
https://github.com/2471023025/ralm_survey
공식 코드RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
https://github.com/2dot71mily/sib_paper
공식 코드https://github.com/2dot71mily/uspec
공식 코드https://github.com/360cvgroup/inner-adaptor-architecture
공식 코드IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
https://github.com/4ai/bellm
공식 코드BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings
https://github.com/4mekki4/promap
공식 코드ProMap: Effective Bilingual Lexicon Induction via Language Model Prompting
https://github.com/4real3000/easyjudge
공식 코드EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMs
https://github.com/763337092/LP-BERT
공식 코드Multi-task Pre-training Language Model for Semantic Network Completion
https://github.com/777pomingzi/rethinking-plm-in-rs
공식 코드https://github.com/8188zq/Inference-Time-Decontamination
공식 코드Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
https://github.com/8421bcd/fullrank
공식 코드Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
https://github.com/A4Bio/DiffSDS_open
공식 코드https://github.com/AI4Chem/ChemVlm
공식 코드ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
https://github.com/AIPHES/ACL20-Reference-Free-MT-Evaluation
공식 코드https://github.com/ASTRAL-Group/ASTRA
공식 코드Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
https://github.com/AbdelkaderMH/DomURLs_BERT
공식 코드https://github.com/AdeDZY/SIGIR19-BERT-IR
공식 코드Deeper Text Understanding for IR with Contextual Neural Language Modeling
https://github.com/AgnostiqHQ/multi-agent-llm
공식 코드Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
https://github.com/Ahalikai/ARS-Routbench
공식 코드https://github.com/AhmedIzzidien/TopicLLM
공식 코드https://github.com/AlanAnsell/PolyLM
공식 코드https://github.com/Albert-Ma/PROP
공식 코드PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.