Papers with Code 아카이브

Large Language Model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

2

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/yuanbo2020/soundscaper

공식 코드

Soundscape Captioning using Sound Affective Quality Network and Large Language Model

https://github.com/yuanninghuang/thesis

공식 코드

Unveiling Gender Bias in Large Language Models: Using Teacher's Evaluation in Higher Education As an Example

https://github.com/yuchen2199/explainable-driver-attention-prediction

공식 코드

Where, What, Why: Towards Explainable Driver Attention Prediction

https://github.com/yuchenxia/aasbyllm

공식 코드

Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0

https://github.com/yuchenxia/gpt4industrialautomation

공식 코드

Towards autonomous system: flexible modular production system enhanced with large language model agents

https://github.com/yuchenxia/llm4ias

공식 코드

Control Industrial Automation System with Large Language Model Agents

https://github.com/yuchenxia/llmdrivensimulation

공식 코드

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

https://github.com/yuelinan/fedjudge

공식 코드

FedJudge: Federated Legal Large Language Model

https://github.com/yueyu1030/attrprompt

공식 코드

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

https://github.com/yuhan1i/g-refer

공식 코드

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation

https://github.com/yujielu10/seeker

공식 코드

From Text to Pixel: Advancing Long-Context Understanding in MLLMs

https://github.com/yul091/denrl

공식 코드

Distantly-Supervised Joint Extraction with Noise-Robust Learning

https://github.com/yunxinli/lingcloud

공식 코드

LMEye: An Interactive Perception Network for Large Language Models

https://github.com/yuplin2333/agent_memory_manage

공식 코드

How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior

https://github.com/yuqian2003/co_learning

공식 코드

Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces

https://github.com/yurifacanha/llmquoter

공식 코드

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

https://github.com/yuxixie/v-dpo

공식 코드

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization

https://github.com/yuyangdu01/llm-cl-vqa

공식 코드

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

https://github.com/yuyangye/mllm-msr

공식 코드

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation

https://github.com/yuyaozhangqaq/query_compiler

공식 코드

Neuro-Symbolic Query Compiler

https://github.com/yxf203/poisonarena

공식 코드

PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation

https://github.com/yxh-y/tablerag

공식 코드

TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning

https://github.com/yyDing1/DS-NER

공식 코드

Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations

https://github.com/yygroup/autocfd

공식 코드

Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations

https://github.com/yzhangchuck/sentinel

공식 코드

Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression

https://github.com/yzhao062/pyod

공식 코드

PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection

https://github.com/z1zs/mmneuron

공식 코드

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

https://github.com/z2sj4t/periguru

공식 코드

PeriGuru: A Peripheral Robotic Mobile App Operation Assistant based on GUI Image Understanding and Prompting with LLM

https://github.com/zackschen/coin

공식 코드

CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model

https://github.com/zaiwen/cropgpt

공식 코드

ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources

https://github.com/zankner/cloud

공식 코드

Critique-out-Loud Reward Models

https://github.com/zayne-sprague/deductive_additivity_for_planning_of_natural_language_proofs

공식 코드

Deductive Additivity for Planning of Natural Language Proofs

https://github.com/zcaicaros/pmc

공식 코드

Planning with Multi-Constraints via Collaborative Language Agents

https://github.com/zcccccz/causalwalk

공식 코드

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment

https://github.com/zefang-liu/InvAgent

공식 코드

InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains

https://github.com/zeng-yirong/ru22fact

공식 코드

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict

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