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/sparsh-ai/RecommenderSystems

Ekar: An Explainable Method for Knowledge Aware Recommendation

https://github.com/spcl/knowledge-graph-of-thoughts

Affordable AI Assistants with Knowledge Graph of Thoughts

https://github.com/squeezeailab/kvquant

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact

https://github.com/stanford-oval/storm

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

https://github.com/stzhang-patrick/arcmmlu

ArcGPT: A Large Language Model Tailored for Real-world Archival Applications

https://github.com/suklav/Artificial-Intelligence/blob/main/Nqueens_DFS.cpp

https://github.com/sunnweiwei/co-bench

A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization

https://github.com/sunsmarterjie/chatterbox

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

https://github.com/susurrant/flow-imputation

Modeling Relational Data with Graph Convolutional Networks

https://github.com/susurrant/spatial-interaction-modeling

Modeling Relational Data with Graph Convolutional Networks

https://github.com/svakulenk0/semantic_coherence

Measuring Semantic Coherence of a Conversation

https://github.com/svjan5/gnns-for-nlp

Neural Graph Embedding Methods for Natural Language Processing

https://github.com/taesunwhang/MVAN-VisDial

Visual Dialog

https://github.com/tanny411/llm-reliability-and-consistency-evaluation

TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability

https://github.com/tencentqqgylab/ella

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

https://github.com/terwilligers/knowledge-graph-recommender

Explainable Reasoning over Knowledge Graphs for Recommendation

https://github.com/teticio/llama-squad

How is ChatGPT's behavior changing over time?

https://github.com/theblackcat102/language-models-are-knowledge-graphs-pytorch

Language Models are Open Knowledge Graphs

https://github.com/theoremone/llm-benchmarker-suite

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

https://github.com/thiviyanT/torch-rgcn

Modeling Relational Data with Graph Convolutional Networks

https://github.com/thorMax/AIPaperWriter

PaperRobot: Incremental Draft Generation of Scientific Ideas

https://github.com/thu-esis/jiuzhou

TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks

https://github.com/thu-keg/eakit

Convolutional 2D Knowledge Graph Embeddings

https://github.com/thu-keg/korc

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

https://github.com/thudm/alignbench

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

https://github.com/thudm/chatglm-6b

Fast Transformer Decoding: One Write-Head is All You Need

https://github.com/tianyic/only_train_once

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

https://github.com/timonziegenbein/inappropriateness-mitigation

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

https://github.com/tkipf/gae

Modeling Relational Data with Graph Convolutional Networks

https://github.com/togethercomputer/moa

Mixture-of-Agents Enhances Large Language Model Capabilities

https://github.com/toooooodo/rgcn-linkprediction

Modeling Relational Data with Graph Convolutional Networks

https://github.com/tpoisonooo/huixiangdou2

Labeling supervised fine-tuning data with the scaling law

https://github.com/traffic-alpha/tsc-harla

iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

https://github.com/tranhungnghiep/AnalyzingKGEmbeddings

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/tranhungnghiep/MEI-KGE

MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/typefly/TypeFly

TypeFly: Flying Drones with Large Language Model

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