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Large Language Model

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

https://github.com/ukplab/m-amr2text

Investigating Pretrained Language Models for Graph-to-Text Generation

https://github.com/uma-pi1/dist-kge

Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings

https://github.com/uma-pi1/kge-iclr20

Convolutional 2D Knowledge Graph Embeddings

https://github.com/unicamp-dl/retailGPT

Retail-GPT: leveraging Retrieval Augmented Generation (RAG) for building E-commerce Chat Assistants

https://github.com/uscnlp-lime/verl

HybridFlow: A Flexible and Efficient RLHF Framework

https://github.com/utter-project/elitr-bench

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

https://github.com/uva-dsa/ems-pipeline

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction

https://github.com/uw-mad-dash/pgt_index

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/vargpt-family/vargpt-v1.1

VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language Model

https://github.com/vchitect/vlogger

Vlogger: Make Your Dream A Vlog

https://github.com/viethungvu1998/khgrec

Heterogeneous Hypergraph Embedding for Recommendation Systems

https://github.com/vinhsuhi/jmac

Joint Multilingual Knowledge Graph Completion and Alignment

https://github.com/vividwalker/Multi-Head-Rag

Multi-Head RAG: Solving Multi-Aspect Problems with LLMs

https://github.com/vlm-rl/ocean-r1

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

https://github.com/volcengine/verl

HybridFlow: A Flexible and Efficient RLHF Framework

https://github.com/wan-video/wan2.1

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

https://github.com/wangclnlp/deepspeed-chat-extension

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation

https://github.com/wdrink/simplear

Accelerating Large Language Model Decoding with Speculative Sampling

https://github.com/web-arena-x/webarena

Hierarchical Prompting Assists Large Language Model on Web Navigation

https://github.com/webis-de/acl-24

LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

https://github.com/weixiongust/rlhf-reward-modeling

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

https://github.com/wellecks/llemma_formal2formal

Llemma: An Open Language Model For Mathematics

https://github.com/wliu88/AttentivePathRanking

Path Ranking with Attention to Type Hierarchies

https://github.com/woodcutter1998/ogb-grail-mod

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/wuliwei9278/SSE-PT

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers

https://github.com/wutaiqiang/shadow-ft

LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models

https://github.com/wxh1996/VideoAgent

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

https://github.com/wyu97/permgen

Text Generation from Knowledge Graphs with Graph Transformers

https://github.com/xgenerationlab/xiyan-dbdescgen

A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

https://github.com/xiaoyuin/tntspa

Neural Machine Translating from Natural Language to SPARQL

https://github.com/xingrun-xing/spikelm

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking

https://github.com/xiongsiheng/TEILP

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning

https://github.com/xiuyu0000/papers_with_examples/tree/main/vogue

VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/xmubq/dtr-text

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

https://github.com/xyznlp/trans

Open Graph Benchmark: Datasets for Machine Learning on Graphs

https://github.com/yakazimir/semantic_fragments

What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge

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