https://github.com/LARC-CMU-SMU/RecipeGPT-exp
공식 코드RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
Papers with Code 아카이브
Language Modeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LC1332/Chat-Haruhi-Suzumiya
공식 코드ChatHaruhi: Reviving Anime Character in Reality via Large Language Model
https://github.com/LCS2-IIITD/LESA-EACL-2021
공식 코드https://github.com/LKJacky/Differentiable-Model-Scaling
공식 코드https://github.com/LL-a-VO/VLLaVO
공식 코드https://github.com/LLLQAQFFF/360REA
공식 코드https://github.com/LLebronC/TRECvid-VTT_HA
공식 코드BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment
https://github.com/LLer0829/Measuring_Copyright_Risk_of_LLM
공식 코드Measuring Copyright Risks of Large Language Model via Partial Information Probing
https://github.com/LOG-postech/safe-torch
공식 코드https://github.com/LSquaredM/mutual_info_scaling_law
공식 코드L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling
https://github.com/LUMIA-Group/TosT5
공식 코드Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training
https://github.com/LUMII-Syslab/RRU
공식 코드https://github.com/LUMII-Syslab/shuffle-exchange
공식 코드Neural Shuffle-Exchange Networks -- Sequence Processing in O(n log n) Time
https://github.com/LZhengisme/CODA
공식 코드https://github.com/LaraQianYang/Ouroboros
공식 코드Ouroboros: On Accelerating Training of Transformer-Based Language Models
https://github.com/LeapLabTHU/diver-ct
공식 코드DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
https://github.com/LeonWlw/asr_blockformer
공식 코드Improving Mandarin Speech Recogntion with Block-augmented Transformer
https://github.com/Liang-Qiu/is13
공식 코드Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task
https://github.com/Lightning-AI/lit-gpt
공식 코드https://github.com/Lingkai-Kong/Calibrated-BERT-Fine-Tuning
공식 코드Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
https://github.com/LingmaTongyi/Lingma-SWE-GPT
공식 코드https://github.com/Linvyl/DAM-QA
공식 코드Describe Anything Model for Visual Question Answering on Text-rich Images
https://github.com/LividWo/Perturbed-Masking
공식 코드Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
https://github.com/Living-with-machines/AtypicalAnimacy
공식 코드https://github.com/Living-with-machines/histLM
공식 코드https://github.com/LiyuanLucasLiu/LD-Net
공식 코드Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
https://github.com/LiyuanLucasLiu/LM-LSTM-CRF
공식 코드Empower Sequence Labeling with Task-Aware Neural Language Model
https://github.com/LiyuanLucasLiu/RAdam
공식 코드https://github.com/LooKing9218/RetiZero
공식 코드https://github.com/LoreDema/GePpeTto
공식 코드https://github.com/LoserCheems/OTCE
공식 코드https://github.com/LuoweiZhou/e2e-gLSTM-sc
공식 코드Watch What You Just Said: Image Captioning with Text-Conditional Attention
https://github.com/M0RJIQUE/tencdm
공식 코드TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
https://github.com/MAGIC-AI4Med/RaTEScore
공식 코드https://github.com/MALerLab/SejongMusic
공식 코드Six Dragons Fly Again: Reviving 15th-Century Korean Court Music with Transformers and Novel Encoding
https://github.com/MC-BERT/MC-BERT
공식 코드MC-BERT: Efficient Language Pre-Training via a Meta Controller
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.