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/ise-uet-vnu/rambo
공식 코드RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
https://github.com/isee-laboratory/llmdet
공식 코드https://github.com/isen-zhang/aclue
공식 코드Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE
https://github.com/isitnavajo/NavajoDetector
공식 코드Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
https://github.com/ist-daslab/panzamail
공식 코드Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
https://github.com/istarryn/dllm2rec
공식 코드https://github.com/iu-aes-ai4code/codequestionanswering
공식 코드Leveraging Large Language Models in Code Question Answering: Baselines and Issues
https://github.com/ivanDonadello/semantic-PASCAL-Part
공식 코드https://github.com/ivanbravi/ShadowingAgentForGVGAI
공식 코드Shallow decision-making analysis in General Video Game Playing
https://github.com/izhx/uni-rep
공식 코드https://github.com/jackingchen/reason_augment_ad_detect
공식 코드https://github.com/jacobyhsi/InterpreTabNet
공식 코드InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
https://github.com/jadexin/cyctea
공식 코드Ensemble Semi-supervised Entity Alignment via Cycle-teaching
https://github.com/jadexin/imea
공식 코드https://github.com/jaidoshi/knowledge-erasure
공식 코드Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
https://github.com/jamespark3922/localized-skd
공식 코드Localized Symbolic Knowledge Distillation for Visual Commonsense Models
https://github.com/jamespark3922/lskd
공식 코드Localized Symbolic Knowledge Distillation for Visual Commonsense Models
https://github.com/jamesyjl/shapellm-omni
공식 코드ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
https://github.com/jangerritha/CycleIK
공식 코드Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents
https://github.com/janothan/bk-strategy-vs-data-supplements
공식 코드https://github.com/jasaxion/irsc_benchmark
공식 코드https://github.com/jasonyux/gdpzero
공식 코드Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
https://github.com/jasonzhangzy1757/diet-odin
공식 코드Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
https://github.com/javyduck/ChatScene
공식 코드ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
https://github.com/jayachaturvedi/pain_in_mental_health
공식 코드https://github.com/jaydeepborkar/Assisted-Memorization
공식 코드Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
https://github.com/jaysaligia/ppt
공식 코드Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
https://github.com/jd-coderepos/bioassays-ie
공식 코드The Digitalization of Bioassays in the Open Research Knowledge Graph
https://github.com/jean-kouagou/enhancedrulelearning
공식 코드https://github.com/jeffchy/combo
공식 코드https://github.com/jeffhj/deer
공식 코드DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
https://github.com/jeonghun3572/K-COMP
공식 코드K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor
https://github.com/jerrywu-code/susgen
공식 코드SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
https://github.com/jhliu0807/agentcf-plus
공식 코드AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations
https://github.com/jhsohn11/hypervc
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.