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/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/bigdata-ustc/Zero-1-to-3

FedJudge: Federated Legal Large Language Model

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/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/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/chengzeyi/paraattention

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

https://github.com/chenxiliu-hnu/timecma

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/christianyang37/chiwun

How to Protect Copyright Data in Optimization of Large Language Models?

https://github.com/circlemind-ai/fast-graphrag

HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

https://github.com/clabrugere/wukong-recommendation

Wukong: Towards a Scaling Law for Large-Scale Recommendation

https://github.com/cmu-l3/llmlean

Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning

https://github.com/cmu-l3/ntp-toolkit

ImProver: Agent-Based Automated Proof Optimization

https://github.com/codelion/adaptive-classifier

LettuceDetect: A Hallucination Detection Framework for RAG Applications

https://github.com/codelion/adaptive-classifier/blob/main/src/adaptive_classifier/memory.py

Protoformer: Embedding Prototypes for Transformers

https://github.com/codelion/optillm

Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing

https://github.com/codelion/optillm/blob/main/optillm/moa.py

Mixture-of-Agents Enhances Large Language Model Capabilities

https://github.com/codelion/optillm/blob/main/optillm/plugins/memory_plugin.py

Writing in the Margins: Better Inference Pattern for Long Context Retrieval

https://github.com/codelion/optillm/blob/main/scripts/eval_frames_benchmark.py

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

https://github.com/col14m/cadrille

cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning

https://github.com/coldmist-lu/mqm_ape

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

https://github.com/conceptofmind/palm

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

https://github.com/cure-lab/mma-diffusion

GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

https://github.com/cwida/pdx

AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval

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