H-DPO: Advancing language model alignment through entropy control
Large language models (LLMs) have demonstrated exceptional capabilities in various applications, but their widespread adoption faces significant challenges. The main ...
Tag: alignment
Meet SynPO: A Self-Driven Paradigm Using Synthetic Preference Data for Model Alignment
Alignment with human preferences has led to significant progress in producing honest, safe, and useful responses from large language models ...
All about AI agents: autonomy, reasoning, alignment and more | by TDS Editors | October 2024
Feeling inspired to write your first TDS post? We are always open to contributions from new authors..Agents have rapidly emerged ...
MagpieLM-4B-Chat-v0.1 and MagpieLM-8B-Chat-v0.1 released: innovative open-source small language models for AI research and alignment
The University of Washington and the Allen Institute for ai (Ai2) have recently made a major contribution to the ai ...
Google DeepMind researchers propose human-centric alignment for vision models to boost AI generalization and interpretability
Deep learning has made significant advances in artificial intelligence, particularly in natural language processing and computer vision. However, even the ...
Contrastive Learning from AI Reviews (CLAIR): A new approach to address underspecification in AI model alignment with Anchored Preference Optimization (APO)
The development of artificial intelligence (ai), particularly large language models (LLMs), is focused on aligning these models with human preferences ...
DaRec: A new plug-and-play alignment framework for LLM and collaborative models
Recommender systems have gained prominence in various applications, with deep neural network-based algorithms displaying impressive capabilities. Large language models (LLMs) ...
Direct alignment of large-scale language models by distillation of contrastive and self-rewarding cues
Aligning large language models (LLMs) to human expectations without human-annotated preference data is a major problem. In this paper, we ...
Improving GFlowNets for text-to-image diffusion alignment
This paper was accepted into the Foundation Models in the Wild workshop at ICML 2024. Diffusion models have emerged as ...
LLM Alignment: Reward-Based vs Reward-Free Methods | by Anish Dubey | Jul, 2024
Optimization methods for LLM alignment10 min read·12 hours agoLanguage models have demonstrated remarkable abilities in producing a wide range of ...
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