https://github.com/likyoo/diffmatch
공식 코드SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
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Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/likyoo/semicd-vl
공식 코드SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
https://github.com/lileipisces/PETER
공식 코드https://github.com/lilynlp/distinguishing-non-natural
공식 코드https://github.com/lilys012/known_examples
공식 코드Crafting In-context Examples according to LMs' Parametric Knowledge
https://github.com/lin000001/Legilimens
공식 코드Legilimens: Practical and Unified Content Moderation for Large Language Model Services
https://github.com/linchen-65/restruct
공식 코드Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
https://github.com/lindazeng979/llm-cmsa
공식 코드Leveraging Large Language Models for Code-Mixed Data Augmentation in Sentiment Analysis
https://github.com/line/sacpo
공식 코드Stepwise Alignment for Constrained Language Model Policy Optimization
https://github.com/linear95/rlm
공식 코드https://github.com/lingchensanwen/qudeval
공식 코드QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing
https://github.com/lingli1996/georeasoner
공식 코드GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
https://github.com/lingo-iitgn/legobench
공식 코드https://github.com/lingo-mit/lm-truthfulness
공식 코드https://github.com/linhuixiao/oneref
공식 코드OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling
https://github.com/linjieli222/HERO
공식 코드HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
https://github.com/linkseed18612254945/finerob
공식 코드Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
https://github.com/linksoul-ai/llasm
공식 코드https://github.com/linxyhaha/atspeed
공식 코드Efficient Inference for Large Language Model-based Generative Recommendation
https://github.com/lions-epfl/chameleon
공식 코드Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
https://github.com/lioutasb/TaLKConvolutions
공식 코드https://github.com/liqunma/fbi-llm
공식 코드FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
https://github.com/lisasiyu/cross-align
공식 코드Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
https://github.com/litesslhub/disco
공식 코드DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
https://github.com/liufanfanlff/robouniview
공식 코드RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation
https://github.com/liufly/refreader
공식 코드The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
https://github.com/liuhaogeng/anchor-former
공식 코드Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
https://github.com/liujch1998/gkp
공식 코드https://github.com/liuliuyuan6/Exp4Fuse
공식 코드https://github.com/liuqidong07/LLMEmb
공식 코드LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
https://github.com/liuqidong07/awesome-llm-enhanced-recommender-systems
공식 코드https://github.com/liuqidong07/leader-pytorch
공식 코드Large Language Model Distilling Medication Recommendation Model
https://github.com/liusulin/ddpd
공식 코드Think While You Generate: Discrete Diffusion with Planned Denoising
https://github.com/liutianlin0121/seislm
공식 코드https://github.com/liuting20/mustdrop
공식 코드Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
https://github.com/liuyangmage/in-context-operator-networks
공식 코드Fine-Tune Language Models as Multi-Modal Differential Equation Solvers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.