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Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tommasoc80/HateBERT
공식 코드HateBERT: Retraining BERT for Abusive Language Detection in English
https://github.com/tomsherborne/tram_optimizer
공식 코드TRAM: Bridging Trust Regions and Sharpness Aware Minimization
https://github.com/toneli/petailor-for-bio-triple-extraction
공식 코드BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
https://github.com/toneli/rt-retrieving-and-thinking
공식 코드How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
https://github.com/tongjifinlab/cfbenchmark
공식 코드CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model
https://github.com/tongjifinlab/cfgpt
공식 코드CFGPT: Chinese Financial Assistant with Large Language Model
https://github.com/tongzhou21/CogMG
공식 코드CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
https://github.com/tongzhou21/oasis
공식 코드Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
https://github.com/tonichopp/ecamp
공식 코드ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
https://github.com/tonychenxyz/selfie
공식 코드SelfIE: Self-Interpretation of Large Language Model Embeddings
https://github.com/tonytu16/protigeno
공식 코드ProtiGeno: a prokaryotic short gene finder using protein language models
https://github.com/tonyzhang617/nomad-dist
공식 코드NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
https://github.com/tool-lmm/tool-lmm
공식 코드MLLM-Tool: A Multimodal Large Language Model For Tool Agent Learning
https://github.com/tpekarekrosin/uhh_ub_ageawarehri
공식 코드A Framework for Adapting Human-Robot Interaction to Diverse User Groups
https://github.com/traffic-alpha/illm-tsc
공식 코드https://github.com/traffic-alpha/llm-assisted-light
공식 코드https://github.com/trapoom555/language-model-sts-cft
공식 코드Improving Text Embeddings for Smaller Language Models Using Contrastive Fine-tuning
https://github.com/travis-xu/TR-Feedback
공식 코드Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
https://github.com/treeai-lab/awesome-kv-cache-management
공식 코드A Survey on Large Language Model Acceleration based on KV Cache Management
https://github.com/treeai-lab/numericbench
공식 코드https://github.com/trestad/cogattn
공식 코드https://github.com/trishullab/LibraryAugmentedSymbolicRegression.jl
공식 코드https://github.com/trishullab/copra
공식 코드https://github.com/trokhymovych/ki_multilingual_training
공식 코드https://github.com/trust-nlp/temporalassessment
공식 코드Time Matters: Examine Temporal Effects on Biomedical Language Models
https://github.com/trustedllm/regavae
공식 코드RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
https://github.com/trustworthy-ml-lab/cb-llms
공식 코드https://github.com/tryptofanik/gc-bert
공식 코드Enriching language models with graph-based context information to better understand textual data
https://github.com/tsafavi/negater
공식 코드NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases
https://github.com/tsb0601/multimon
공식 코드Mass-Producing Failures of Multimodal Systems with Language Models
https://github.com/tshi04/NATS
공식 코드Neural Abstractive Text Summarization with Sequence-to-Sequence Models
https://github.com/tsinghua-dhy/edc-2-rag
공식 코드Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
https://github.com/tsinghua-fib-lab/H-LM
공식 코드HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
https://github.com/tsinghua-fib-lab/acl24-econagent
공식 코드EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
https://github.com/tsinghua-fib-lab/agentmove
공식 코드AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.