Papers with Code 아카이브

Models Alignment

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

Models Alignment is the process of ensuring that multiple models used in a machine learning system are consistent with each other and aligned with the goals of the system. This involves defining clear and consistent objectives for each model, identifying and addressing any inconsistencies or biases in the data used to train each model, testing and validating each model to ensure its accuracy, and ensuring that the predictions and decisions made by each model are consistent and aligned with the overall goals of the system.

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Models Alignment

논문

Into the Unknown: From Structure to Disorder in Protein Function Prediction

Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks

Stackelberg Game Preference Optimization for Data-Efficient Alignment of Language Models

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

InfAlign: Inference-aware language model alignment

A Survey on LLM-as-a-Judge

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment

Negative-Prompt-driven Alignment for Generative Language Model

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment

VFA: Vision Frequency Analysis of Foundation Models and Human

Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities

Comparative Analysis Of Color Models For Human Perception And Visual Color Difference

Offline Regularised Reinforcement Learning for Large Language Models Alignment

Decoding-time Realignment of Language Models

Constructive Large Language Models Alignment with Diverse Feedback

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Competence-Based Analysis of Language Models

Re-basin via implicit Sinkhorn differentiation

Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging