https://github.com/tsinghua-fib-lab/acl24-econagent
공식 코드EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
TrajAgent: An Agent Framework for Unified Trajectory Modelling
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Filter
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment
Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity
Causal Structure Learning Supervised by Large Language Model
LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report Generation
VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking
Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
A Study of Generative Large Language Model for Medical Research and Healthcare
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.