Papers with Code 아카이브

Large Language Model

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/axiomlab/Cable

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

https://github.com/baai-dcai/segvol

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

https://github.com/baaivision/judgelm

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

https://github.com/baaivision/muse-pytorch

Muse: Text-To-Image Generation via Masked Generative Transformers

https://github.com/bahuia/aqgnet

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs

https://github.com/bangoc123/drop-rag

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/bangoc123/retrieval-backend-with-rag

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/batmanlab/Ladder

LADDER: Language Driven Slice Discovery and Error Rectification

https://github.com/batra-mlp-lab/visdial

Visual Dialog

https://github.com/batra-mlp-lab/visdial-challenge-starter-pytorch

Visual Dialog

https://github.com/bbartoldson/TBA

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training

https://github.com/berlincho/RGCN-pytorch

Modeling Relational Data with Graph Convolutional Networks

https://github.com/bi-graph/emgraph

Holographic Embeddings of Knowledge Graphs

https://github.com/bigdata-ustc/Zero-1-to-3

FedJudge: Federated Legal Large Language Model

https://github.com/bio-ontology-research-group/EL2Box_embedding

EL Embeddings: Geometric construction of models for the Description Logic EL ++

https://github.com/bjascob/amrlib

Investigating Pretrained Language Models for Graph-to-Text Generation

https://github.com/bjoernpl/fasteval

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

https://github.com/booydar/t5-experiments

In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss

https://github.com/brandonjaipersaud/piazza-qabot-gpt

Decomposed Prompting to Answer Questions on a Course Discussion Board

https://github.com/brucewlee/lftk

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach

https://github.com/bsantraigi/TA_TransE

Learning Sequence Encoders for Temporal Knowledge Graph Completion

https://github.com/bupt-gamma/prograph

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration

https://github.com/caraj7/t2i-r1

MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

https://github.com/carmilea/carmilea

The Geometry of Categorical and Hierarchical Concepts in Large Language Models

https://github.com/caskcsg/CoT-MAE

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

https://github.com/caskcsg/ir

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

https://github.com/caskcsg/longcontext

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

https://github.com/castorini/nuggetizer

Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track

https://github.com/castorini/rank_llm

RankLLM: A Python Package for Reranking with LLMs

https://github.com/cdhx/KBGAN_for_RotatE

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

https://github.com/cgraywang/deepex

Language Models are Open Knowledge Graphs

https://github.com/chalothon/Graph-Convolutional-Networks-for-Relational-Link-Prediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/chaoyuhao/AnomalyR1

AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

https://github.com/chat-3d/chat-3d-v2

Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

https://github.com/chatterjeeayan/upna

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/chengzeyi/paraattention

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.