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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/ruc-gsai/yulan-rec
공식 코드User Behavior Simulation with Large Language Model based Agents
https://github.com/rucaibox/allo
공식 코드Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
https://github.com/rucaibox/bamboo
공식 코드https://github.com/rucaibox/cfcrs
공식 코드Improving Conversational Recommendation Systems via Counterfactual Data Simulation
https://github.com/rucaibox/elmer
공식 코드ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
https://github.com/rucaibox/erya
공식 코드Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation
https://github.com/rucaibox/jiuzhang
공식 코드JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding
https://github.com/rucaibox/lamoc
공식 코드Zero-shot Visual Question Answering with Language Model Feedback
https://github.com/rucaibox/llmsurvey
공식 코드https://github.com/rucaibox/lsvcr
공식 코드A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation
https://github.com/rucaibox/mpo
공식 코드Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
https://github.com/rucaibox/mpoe
공식 코드Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
https://github.com/rucaibox/opt-visor
공식 코드Exploring the Design Space of Visual Context Representation in Video MLLMs
https://github.com/rucaibox/structgpt
공식 코드StructGPT: A General Framework for Large Language Model to Reason over Structured Data
https://github.com/rucaibox/vda
공식 코드Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
https://github.com/rucaibox/virgo
공식 코드Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
https://github.com/ruckbreasoning/glm-dialog
공식 코드GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation
https://github.com/ruckbreasoning/resdsql
공식 코드RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
https://github.com/ruijie-wang-uzh/NLQxform
공식 코드NLQxform: A Language Model-based Question to SPARQL Transformer
https://github.com/ruikangliu/IntactKV
공식 코드IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
https://github.com/ruiqi-zhong/nlparam
공식 코드Explaining Datasets in Words: Statistical Models with Natural Language Parameters
https://github.com/ruizheliUOA/TWR-VAE
공식 코드Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
https://github.com/ruizhong961230/llmo
공식 코드Large Language Model Assisted Adversarial Robustness Neural Architecture Search
https://github.com/ruizhong961230/zso
공식 코드Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework
https://github.com/ruke1ire/RTF
공식 코드State-Free Inference of State-Space Models: The Transfer Function Approach
https://github.com/rulinshao/retrieval-scaling
공식 코드Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
https://github.com/rupakdas18/SemEval-2017-Task-4-A-B-C-using-BERT
공식 코드SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT
https://github.com/rupertluo/valley
공식 코드Valley: Video Assistant with Large Language model Enhanced abilitY
https://github.com/rutgerswiselab/genrec
공식 코드https://github.com/rutgerswiselab/pap-rec
공식 코드PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
https://github.com/rvivek3/anchorpoints
공식 코드https://github.com/rwkv/rwkv-lm
공식 코드https://github.com/rwth-i6/returnn
공식 코드Librispeech Transducer Model with Internal Language Model Prior Correction
https://github.com/rwth-i6/returnn-experiments
공식 코드Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
https://github.com/rwth-i6/returnn-experiments/tree/master/2021-transducer
공식 코드Librispeech Transducer Model with Internal Language Model Prior Correction
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