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/thinkwee/iAgents

공식 코드

Autonomous Agents for Collaborative Task under Information Asymmetry

https://github.com/thisishwang/exit

공식 코드

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation

https://github.com/thomlake/investigating-alignment

공식 코드

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment

https://github.com/thu-bpm/watermark-radioactivity-attack

공식 코드

Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

https://github.com/thu-coai/critiquellm

공식 코드

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

https://github.com/thu-huangzc/FFAA

공식 코드

FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant

https://github.com/thu-keg/knowledge-to-jailbreak

공식 코드

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models

https://github.com/thu-keg/r-eval

공식 코드

R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models

https://github.com/thu-keg/rearag

공식 코드

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation

https://github.com/thu-keg/seakr

공식 코드

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

https://github.com/thu-nics/moa

공식 코드

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression

https://github.com/thu-rllab/lare

공식 코드

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning

https://github.com/thuccslab/mergeguard

공식 코드

Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging

https://github.com/thudm/autowebglm

공식 코드

AutoWebGLM: A Large Language Model-based Web Navigating Agent

https://github.com/thudm/datascibench

공식 코드

DataSciBench: An LLM Agent Benchmark for Data Science

https://github.com/thudm/self-contrast

공식 코드

Extensive Self-Contrast Enables Feedback-Free Language Model Alignment

https://github.com/thudm/webglm

공식 코드

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

https://github.com/thunderous77/glape

공식 코드

GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Model

https://github.com/thunlp/ChartCoder

공식 코드

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

https://github.com/thunlp/adaptive-note

공식 코드

Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation

https://github.com/thunlp/apb

공식 코드

APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs

https://github.com/thunlp/clueanchor

공식 코드

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation

https://github.com/thunlp/kbalign

공식 코드

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases

https://github.com/thunlp/tritonbench

공식 코드

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

https://github.com/thusharamanjari/rag_llm_causalitymining

공식 코드

Retrieval Augmented Generation based Large Language Models for Causality Mining

https://github.com/tianhaoshi2001/lsat

공식 코드

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems

https://github.com/tiannuo-yang/searchagent-x

공식 코드

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents

https://github.com/tianyao-aka/rapl

공식 코드

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering

https://github.com/tifat58/enhanced-interpretable-report-generation-demo

공식 코드

CBM-RAG: Demonstrating Enhanced Interpretability in Radiology Report Generation with Multi-Agent RAG and Concept Bottleneck Models

https://github.com/tifat58/irr-with-cbm-rag

공식 코드

Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG

https://github.com/tiffanyblews/mozartstouch

공식 코드

Mozart's Touch: A Lightweight Multi-modal Music Generation Framework Based on Pre-Trained Large Models

https://github.com/tigerchen52/pub_guard_llm

공식 코드

Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations

https://github.com/tigerresearch/tigerbot

공식 코드

SoftTiger: A Clinical Foundation Model for Healthcare Workflows

https://github.com/tingchenfu/poisonbench

공식 코드

PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning

https://github.com/tingjshen/urllm

공식 코드

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

https://github.com/tisage/cybermentor

공식 코드

CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education

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