https://github.com/lyuchenyang/macaw-llm
공식 코드Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
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/lyuqin/HydraNet-WikiSQL
공식 코드https://github.com/lyutyuh/poptimizer
공식 코드Likelihood as a Performance Gauge for Retrieval-Augmented Generation
https://github.com/lz1oceani/llm-as-hierarchical-policy
공식 코드https://github.com/lzhang90/prompt/blob/main/prompts
공식 코드https://github.com/lzhenwen/mwp-bert
공식 코드MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
https://github.com/lzw-lzw/unifiedmllm
공식 코드UnifiedMLLM: Enabling Unified Representation for Multi-modal Multi-tasks With Large Language Model
https://github.com/lzw108/conspemollm
공식 코드ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model
https://github.com/m3rg-iitd/aila
공식 코드Autonomous Microscopy Experiments through Large Language Model Agents
https://github.com/m3rg-repo/MatSciBERT
공식 코드MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
https://github.com/ma787639046/tdro
공식 코드Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
https://github.com/maarten-deraedt/idas-intent-discovery-with-abstract-summarization
공식 코드https://github.com/machamp-nlp/machamp
공식 코드Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
https://github.com/machelreid/m2d2
공식 코드https://github.com/machelreid/subformer
공식 코드Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers
https://github.com/maclab-hfut/psycollm
공식 코드PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation
https://github.com/madaan/temporal-graph-gen
공식 코드Neural Language Modeling for Contextualized Temporal Graph Generation
https://github.com/madhumitasushil/oncllmextraction
공식 코드CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference
https://github.com/madrylab/at2
공식 코드https://github.com/madrylab/context-cite
공식 코드https://github.com/maesosto/queerbench
공식 코드QueerBench: Quantifying Discrimination in Language Models Toward Queer Identities
https://github.com/magic-ai4med/kep
공식 코드Knowledge-enhanced Visual-Language Pretraining for Computational Pathology
https://github.com/magic-ai4med/mmedlm
공식 코드https://github.com/magic-research/Sa2VA
공식 코드Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
https://github.com/magiccircuit/msa-augmentor
공식 코드Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
https://github.com/mahesh-ak/cognatetransformer
공식 코드Cognate Transformer for Automated Phonological Reconstruction and Cognate Reflex Prediction
https://github.com/mahesh-godavarti/joformer
공식 코드JoFormer (Journey-based Transformer): Theory and Empirical Analysis on the Tiny Shakespeare Dataset
https://github.com/mainlp/escoxlmr
공식 코드ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
https://github.com/mainlp/spotlight
공식 코드https://github.com/majumderb/rezero
공식 코드https://github.com/maksym-taranukhin/stance_reasoner
공식 코드Stance Reasoner: Zero-Shot Stance Detection on Social Media with Explicit Reasoning
https://github.com/malkin1729/ibis
공식 코드https://github.com/malteos/pytorch-bert-document-classification
공식 코드Enriching BERT with Knowledge Graph Embeddings for Document Classification
https://github.com/malteos/scincl
공식 코드Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
https://github.com/mamadou-keita/fidavl
공식 코드FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
https://github.com/mandar-sharma/guided-dropout
공식 코드Information Guided Regularization for Fine-tuning Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.