Media Summary: In the 49th session of Multimodal Weekly, we had two exciting presentations from researchers working in A key session on the theory and algorithms behind The goal of preference optimization is to teach the

Single Step Language Model Alignment - Detailed Analysis & Overview

In the 49th session of Multimodal Weekly, we had two exciting presentations from researchers working in A key session on the theory and algorithms behind The goal of preference optimization is to teach the For more information about Stanford's online Artificial Intelligence programs visit: To learn more about ... Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do ...

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Single-Step Language Model Alignment & Smaller-Scale Large Multimodal Models | Multimodal Weekly 49
Language Model Alignment: Theory & Algorithms | Ahmad Beirami
One-step Language Modeling via Continuous Denoising | Nicholas Boffi
Small Language Model Alignment - Finetune SLMs to ALWAYS pick the best answer (Unsloth DPO)
Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 16: Alignment - RL 1
Alignment faking in large language models
The Rise of Single-Step Generative Models [MeanFlow]
4 Ways to Align LLMs: RLHF, DPO, KTO, and ORPO
Language Model Alignment: Theory & Algorithms
InfAlign: Inference-aware language model alignment
Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 15: Alignment - SFT/RLHF
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
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Single-Step Language Model Alignment & Smaller-Scale Large Multimodal Models | Multimodal Weekly 49

Single-Step Language Model Alignment & Smaller-Scale Large Multimodal Models | Multimodal Weekly 49

In the 49th session of Multimodal Weekly, we had two exciting presentations from researchers working in

Language Model Alignment: Theory & Algorithms | Ahmad Beirami

Language Model Alignment: Theory & Algorithms | Ahmad Beirami

A key session on the theory and algorithms behind

One-step Language Modeling via Continuous Denoising | Nicholas Boffi

One-step Language Modeling via Continuous Denoising | Nicholas Boffi

https://hannes-stark.com/starkly-speaking Paper:

Small Language Model Alignment - Finetune SLMs to ALWAYS pick the best answer (Unsloth DPO)

Small Language Model Alignment - Finetune SLMs to ALWAYS pick the best answer (Unsloth DPO)

The goal of preference optimization is to teach the

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 16: Alignment - RL 1

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 16: Alignment - RL 1

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about ...

Alignment faking in large language models

Alignment faking in large language models

Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do ...

The Rise of Single-Step Generative Models [MeanFlow]

The Rise of Single-Step Generative Models [MeanFlow]

Diffusion and flow-matching

4 Ways to Align LLMs: RLHF, DPO, KTO, and ORPO

4 Ways to Align LLMs: RLHF, DPO, KTO, and ORPO

Enterprises must

Language Model Alignment: Theory & Algorithms

Language Model Alignment: Theory & Algorithms

In this talk, we give an overview of

InfAlign: Inference-aware language model alignment

InfAlign: Inference-aware language model alignment

Language model alignment

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 15: Alignment - SFT/RLHF

Stanford CS336 Language Modeling from Scratch | Spring 2025 | Lecture 15: Alignment - SFT/RLHF

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai To learn more about ...

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

This paper introduces an

Lec 24 | Alignment of Language Models-I

Lec 24 | Alignment of Language Models-I

tl;dr: This lecture discusses