Papers with Code 아카이브
Large Language Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/freedomintelligence/llmzoo
공식 코드https://github.com/freedomintelligence/rag-instruct
공식 코드RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
https://github.com/freedomintelligence/sharegpt-4o-image
공식 코드ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
https://github.com/freesunshine0316/nary-grn
공식 코드Tackling Graphical NLP problems with Graph Recurrent Networks
https://github.com/frenzymath/REAL-Prover
공식 코드REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning
https://github.com/frontierlabs/mapdia
공식 코드Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History
https://github.com/fsoft-ai4code/xmainframe
공식 코드XMainframe: A Large Language Model for Mainframe Modernization
https://github.com/fu-dayuan/preact
공식 코드https://github.com/fudan-zvg/Brain3D
공식 코드https://github.com/fudandisc/disc-finllm
공식 코드DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning
https://github.com/fudandisc/disc-lawllm
공식 코드DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
https://github.com/fudandisc/disc-medllm
공식 코드DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
https://github.com/fudandisc/piors
공식 코드https://github.com/fudandisc/socialagent
공식 코드https://github.com/fudanselab/agent4se-paper-list
공식 코드Large Language Model-Based Agents for Software Engineering: A Survey
https://github.com/funaudiollm/cosyvoice
공식 코드https://github.com/funaudiollm/inspiremusic
공식 코드https://github.com/furrutiav/nllf-emnlp-2023
공식 코드Deep Natural Language Feature Learning for Interpretable Prediction
https://github.com/fusion-jena/automatic-kg-creation-with-llm
공식 코드https://github.com/fusion-jena/information-retrieval-using-multiple-llm-and-rag
공식 코드https://github.com/futuredialchallenge/2024-rag
공식 코드The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
https://github.com/futureeeeee/cognibench
공식 코드https://github.com/futureeeeee/dynamic-rag
공식 코드https://github.com/futureeeeee/mba
공식 코드MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
https://github.com/fuyu-quant/iblm
공식 코드Inductive-bias Learning: Generating Code Models with Large Language Model
https://github.com/gabriellasky/claim_optimization
공식 코드https://github.com/gair-nlp/deepresearcher
공식 코드DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
https://github.com/gair-nlp/openresearcher
공식 코드OpenResearcher: Unleashing AI for Accelerated Scientific Research
https://github.com/gair-nlp/preference-dissection
공식 코드https://github.com/gair-nlp/prox
공식 코드Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale
https://github.com/ganjinzero/rrhf
공식 코드RRHF: Rank Responses to Align Language Models with Human Feedback without tears
https://github.com/gao-g/prelude
공식 코드Aligning LLM Agents by Learning Latent Preference from User Edits
https://github.com/gasolsun36/dynamicrag
공식 코드https://github.com/gasolsun36/surf
공식 코드SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
https://github.com/gasolsun36/tog
공식 코드Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.