https://github.com/linzhiqiu/visual_gpt_score
공식 코드Revisiting the Role of Language Priors in Vision-Language Models
Papers with Code 아카이브
Language Modelling
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A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.
Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.
Source: Wikipedia
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/lipiji/SongNet
공식 코드https://github.com/lipingyi/fedssa
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/lishaofeng/NLP_Backdoor
공식 코드https://github.com/litesslhub/disco
공식 코드DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
https://github.com/littleredxh/HardNegative
공식 코드https://github.com/littleredxh/vse-gradient
공식 코드Dissecting Deep Metric Learning Losses for Image-Text Retrieval
https://github.com/litwellchi/chatillusion
공식 코드M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
https://github.com/litwellchi/mmtrail
공식 코드MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions
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/liujch1998/infini-gram
공식 코드Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
https://github.com/liuliuyuan6/Exp4Fuse
공식 코드https://github.com/liupeng9966/lmrs
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/liuxu77/stgcl
공식 코드When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?
https://github.com/liuyangmage/in-context-operator-networks
공식 코드Fine-Tune Language Models as Multi-Modal Differential Equation Solvers
https://github.com/liuyyy111/AVSE
공식 코드Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment
https://github.com/livnlp/timeadapted-dcwe
공식 코드Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
https://github.com/lixinze777/knowledge-aware-language-model-attribution
공식 코드Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
https://github.com/lixsh6/tencent_wsdm_cup2023
공식 코드Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking
https://github.com/liyichen-cly/pog
공식 코드Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
https://github.com/liyucheng09/contamination_detector
공식 코드Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation
https://github.com/liyucheng09/latesteval
공식 코드https://github.com/lizhaoliu-lec/cg-vlm
공식 코드Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.