https://github.com/AleksandarPetrov/tokenization-fairness
공식 코드Language Model Tokenizers Introduce Unfairness Between Languages
Papers with Code 아카이브
Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Aleph-Alpha/magma
공식 코드MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning
https://github.com/Alexgichamba/itu_qna_challenge
공식 코드ColBERT Retrieval and Ensemble Response Scoring for Language Model Question Answering
https://github.com/AliSaadatV/Causal-Gene-Pathway-Finder
공식 코드https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/MGP-STR
공식 코드https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/VLPT-STD
공식 코드Vision-Language Pre-Training for Boosting Scene Text Detectors
https://github.com/Alidar40/lez-rus-azj-translator
공식 코드Neural machine translation system for Lezgian, Russian and Azerbaijani languages
https://github.com/AlignmentResearch/scaling-llm-robustness-paper
공식 코드https://github.com/AnamikaLochab/EBRM
공식 코드Energy-Based Reward Models for Robust Language Model Alignment
https://github.com/AnkurMali/ContinualPTNCN
공식 코드Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
https://github.com/AntonioLiu97/llmICL
공식 코드LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
https://github.com/ApocalypseH/EGMS
공식 코드https://github.com/Ariel-Goldstein-Lab/Can-AI-Change-Your-Mind
공식 코드https://github.com/Ariostgx/lctgen
공식 코드https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts
공식 코드https://github.com/Atharva-Gundawar/LLM-Modulo-prompts
공식 코드Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach
https://github.com/AtlasAnalyticsLab/AdaFisher
공식 코드AdaFisher: Adaptive Second Order Optimization via Fisher Information
https://github.com/Augus1999/bayesian-flow-network-for-chemistry
공식 코드https://github.com/Aunsiels/GenT
공식 코드Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation
https://github.com/Avelina9X/direct-preference-heads
공식 코드Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
https://github.com/Avmb/dl4mt-lm
공식 코드https://github.com/Avmb/lowrank-gru
공식 코드https://github.com/Avmb/lowrank-highwaynetwork
공식 코드https://github.com/Avmb/lowrank-lstm
공식 코드https://github.com/AzureStarz/paying_attention_to_the_source
공식 코드https://github.com/AzusaXuan/AnnoDPO
공식 코드AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization
https://github.com/BBBiiinnn/SynArtifact
공식 코드SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
https://github.com/BICLab/MetaLA
공식 코드MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
https://github.com/BZX667/DMPO
공식 코드https://github.com/BangLab-UdeM-Mila/NLP4MatSci-HoneyBee
공식 코드HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
https://github.com/BeckyMarvin/LM_syneval
공식 코드https://github.com/Beilong-Tang/lauraTSE_code
공식 코드LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models
https://github.com/Berkeley-Speech-Group/sylber
공식 코드Sylber: Syllabic Embedding Representation of Speech from Raw Audio
https://github.com/BigBinnie/GDPO
공식 코드No Preference Left Behind: Group Distributional Preference Optimization
https://github.com/BigRedT/info-ground
공식 코드https://github.com/BirgerMoell/SwedishLLMBenchmark
공식 코드Evaluating Large Language Models with Human Feedback: Establishing a Swedish Benchmark
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