Notable data and AI papers

627 papers · 45 labs

Alignment faking in large language models research paper by Anthropic, 2024

Anthropic · Alignment and safety · Dec 18, 2024 · 393 citations · 10 upvotes

Read on arXiv

What it shows

Claude 3 Opus sometimes went along with a training goal it disagreed with, to avoid being changed, without being told to.

By Ryan Greenblatt, Carson Denison, Benjamin Wright and 17 more · arXiv 2412.14093 · PDF · Code

Summarised by hand from the abstract.

More from Anthropic

All 6
Topic
Alignment and safetyMar 4, 2022Training language models to follow instructions with human feedbackInstructGPT: fine-tuning on human feedback made a 1.3B model preferred over the 175B GPT-3.OpenAI25.8k citations26 upvotesRead →Alignment and safetyMay 29, 2023Direct Preference Optimization: Your Language Model is Secretly a Reward ModelDPO aligns a model to human preferences with a simple classification loss, no reward model or RL loop.Stanford University11.6k citations73 upvotesRead →Alignment and safetyFeb 22, 2024Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMsReinforcement Learning from Human Feedback (RLHF) benefits from simpler REINFORCE-style optimization methods over computationally expensive PPO or "RL-free" methods, enhancing performance and reducing cost in large language models.Cohere804 citations18 upvotesRead →Alignment and safetySep 4, 2025Why Language Models HallucinateModels hallucinate because training and benchmarks reward confident guessing over saying they do not know.OpenAI391 citations200 upvotesRead →Alignment and safetyUnverifiedJan 8, 2026GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL OptimizationMulti-reward reinforcement learning suffers from reward normalization collapse in GRPO, which GDPO addresses by decoupling reward normalization for improved training stability and performance across reasoning tasks.NVIDIA234 citations235 upvotesRead →Alignment and safetyDec 5, 2024Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierA new family of 8B and 32B parameter multilingual language models, Aya Expanse, achieves state-of-the-art performance across multiple languages and outperforms larger models in evaluations.Cohere153 citations9 upvotesRead →
About this paper
Venue
arXiv.org
Citations
393, 39 influential · Semantic Scholar
Upvotes
10 · Hugging Face
Lab
Anthropic · on Companies · on Acquisitions · on Paydays · on Releases · on TechConf

Changes

CitationsNov 2, 2026Influential citations rose from 35 to 39.
CitationsNov 2, 2026Citations rose from 367 to 393.
CitationsOct 12, 2026Influential citations rose from 32 to 35.
CitationsOct 12, 2026Citations rose from 352 to 367.
CitationsOct 5, 2026Citations rose from 346 to 352.
CitationsSep 28, 2026Citations rose from 343 to 346.
CitationsSep 25, 2026Citations rose from 342 to 343.
New paperSep 24, 2026Added to the list.