https://github.com/tsinghua-fib-lab/agentsocietychallenge
공식 코드AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
TrajAgent: An Agent Framework for Unified Trajectory Modelling
Large Trajectory Models are Scalable Motion Predictors and Planners
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
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
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models
Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
Token Manipulation Generative Adversarial Network for Text Generation
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages
Causal Structure Learning Supervised by Large Language Model
Cheetah: Natural Language Generation for 517 African Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.