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Enhancing large vision language models with self-training on image comprehension
Large vision language models (LVLMs) integrate large language models (LLMs) with pre-
trained vision encoders, thereby activating the perception capability of the model to …
trained vision encoders, thereby activating the perception capability of the model to …
Star-gate: Teaching language models to ask clarifying questions
When prompting language models to complete a task, users often leave important aspects
unsaid. While asking questions could resolve this ambiguity (GATE; Li et al., 2023), models …
unsaid. While asking questions could resolve this ambiguity (GATE; Li et al., 2023), models …
Generative reward models
Reinforcement Learning from Human Feedback (RLHF) has greatly improved the
performance of modern Large Language Models (LLMs). The RLHF process is resource …
performance of modern Large Language Models (LLMs). The RLHF process is resource …
PERSONA: A Reproducible Testbed for Pluralistic Alignment
The rapid advancement of language models (LMs) necessitates robust alignment with
diverse user values. However, current preference optimization approaches often fail to …
diverse user values. However, current preference optimization approaches often fail to …
Aligning large language models via self-steering optimization
Automated alignment develops alignment systems with minimal human intervention. The
key to automated alignment lies in providing learnable and accurate preference signals for …
key to automated alignment lies in providing learnable and accurate preference signals for …
Is Free Self-Alignment Possible?
Aligning pretrained language models (LMs) is a complex and resource-intensive process,
often requiring access to large amounts of ground-truth preference data and substantial …
often requiring access to large amounts of ground-truth preference data and substantial …
LLM Safety Alignment is Divergence Estimation in Disguise
We propose a theoretical framework demonstrating that popular Large Language Model
(LLM) alignment methods, including Reinforcement Learning from Human Feedback (RLHF) …
(LLM) alignment methods, including Reinforcement Learning from Human Feedback (RLHF) …
Can Language Models Safeguard Themselves, Instantly and For Free?
Aligning pretrained language models (LMs) to handle a new safety scenario is normally
difficult and expensive, often requiring access to large amounts of ground-truth preference …
difficult and expensive, often requiring access to large amounts of ground-truth preference …
[PDF][PDF] Generative Reward Models-A Unified Approach to RLHF and RLAIF
D Mahan, D Van Phung, R Rafailov, CBNLL Castricato - static.synthlabs.ai
Reinforcement Learning from Human Feedback (RLHF) has greatly improved the
performance of modern Large Language Models (LLMs). The RLHF process is resource …
performance of modern Large Language Models (LLMs). The RLHF process is resource …