Papers with Code 아카이브

Language Modeling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/openbiolink/thoughtsource

공식 코드

ThoughtSource: A central hub for large language model reasoning data

https://github.com/openbmb/chatdev

공식 코드

Scaling Large Language Model-based Multi-Agent Collaboration

https://github.com/openbmb/repoagent

공식 코드

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

https://github.com/openbmb/viscpm

공식 코드

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

https://github.com/opencenia/spanish-sentence-evaluation

공식 코드

Evaluation Benchmarks for Spanish Sentence Representations

https://github.com/opendatalab/h2rsvlm

공식 코드

VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

https://github.com/opendatalab/openhueval

공식 코드

OpenHuEval: Evaluating Large Language Model on Hungarian Specifics

https://github.com/opendatalab/pm4bench

공식 코드

PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model

https://github.com/opendatalab/vhm

공식 코드

VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

https://github.com/opendfm/bai-scieval

공식 코드

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research

https://github.com/opendfm/rememberer

공식 코드

Large Language Models Are Semi-Parametric Reinforcement Learning Agents

https://github.com/opendfm/scieval

공식 코드

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research

https://github.com/opendrivelab/elm

공식 코드

Embodied Understanding of Driving Scenarios

https://github.com/opengvlab/chartast

공식 코드

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning

https://github.com/opengvlab/diffagent

공식 코드

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

https://github.com/opengvlab/instruct2act

공식 코드

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

https://github.com/opengvlab/interngpt

공식 코드

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

https://github.com/opengvlab/internvl

공식 코드

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

https://github.com/opengvlab/vinci

공식 코드

Vinci: A Real-time Embodied Smart Assistant based on Egocentric Vision-Language Model

https://github.com/opengvlab/visionllm

공식 코드

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

https://github.com/opening-up-chatgpt/opening-up-chatgpt.github.io

공식 코드

Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators

https://github.com/openmatch/coco-dr

공식 코드

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

https://github.com/openmatch/gist-coco

공식 코드

Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression

https://github.com/openmatch/neuscraper

공식 코드

Cleaner Pretraining Corpus Curation with Neural Web Scraping

https://github.com/openmatch/openmatch

공식 코드

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

https://github.com/openmeshlab/meshxl

공식 코드

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

https://github.com/openmoss/language-model-saes

공식 코드

Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders

https://github.com/openmotionlab/motiongpt

공식 코드

MotionGPT: Human Motion as a Foreign Language

https://github.com/opennlplab/etsc-exact-toeplitz-to-ssm-conversion

공식 코드

Accelerating Toeplitz Neural Network with Constant-time Inference Complexity

https://github.com/opennlplab/favdbench

공식 코드

Fine-grained Audible Video Description

https://github.com/opennlplab/hgrn2

공식 코드

HGRN2: Gated Linear RNNs with State Expansion

https://github.com/opennlplab/transnormer

공식 코드

The Devil in Linear Transformer

https://github.com/opennlplab/transnormerllm

공식 코드

TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer

https://github.com/openroad-assistant/eda-corpus

공식 코드

EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD

https://github.com/openrobotlab/unihsi

공식 코드

Unified Human-Scene Interaction via Prompted Chain-of-Contacts

https://github.com/optima-cityu/llm4ad

공식 코드

LLM4AD: A Platform for Algorithm Design with Large Language Model

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