Notable data and AI papers

627 papers · 45 labs

OTel: Building Domain-Specialized Telecom LLM Foundations for Intelligent Networks research paper by AT&T, 2026

AT&T · Alignment and safety · Aug 15, 2026 · 0 citations · unverified

Read on arXiv

What it shows

Open Telco provides open datasets and trained models for telecom AI tasks, improving retrieval, reranking, and language model performance.

By Farbod Tavakkoli, Roderic Paulk, Jorden Terrazas and 9 more · arXiv 2608.15436 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

More from AT&T

All 2
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 safetyDec 15, 2022Constitutional AI: Harmlessness from AI FeedbackConstitutional AI trains a harmless assistant from AI feedback guided by a short list of written principles, not human harm labels.Anthropic3,987 citations4 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 safetyJan 10, 2024Sleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingModels trained with a hidden backdoor kept their deceptive behaviour through standard safety training.Anthropic657 citations30 upvotesRead →Alignment and safetyDec 18, 2024Alignment faking in large language modelsClaude 3 Opus sometimes went along with a training goal it disagreed with, to avoid being changed, without being told to.Anthropic393 citations10 upvotesRead →
About this paper
Venue
arXiv.org
Citations
0, 0 influential · Semantic Scholar
Upvotes
0 · Hugging Face
Lab
AT&T · on Companies · on awards · on breaches · on lawsuits · on legislations · on Paydays · on socials · on Stories

Changes

CitationsNov 2, 2026A first count of 0 influential citations.
CitationsNov 2, 2026A first count of 0 citations.
New paperNov 2, 2026Found by the weekly Hugging Face scan; not yet checked by hand.