ChengCheng Tan
Senior Communications Specialist
ChengCheng is a Senior Communications Specialist at FAR.AI. She loves working with artificial intelligence, is passionate about lifelong learning, and is devoted to making technology education accessible to a wider audience. She brings over 20 years of experience consulting in UI/UX research, design and programming. At Stanford University, her MS in Computer Science specializing in Human Computer Interaction was advised by Terry Winograd and funded by the NSF. Prior to this, she studied computational linguistics at UCLA and graphic design at the Laguna College of Art + Design.
NEWs & publications
Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
February 4, 2025
illusory-safety-redteaming-deepseek-r1-and-the-strongest-fine-tunable-models-of-openai-anthropic-and-google
Bay Area Alignment Workshop 2024
December 10, 2024
bay-area-alignment-workshop-2024
GPT-4o Guardrails Gone: Data Poisoning & Jailbreak-Tuning
October 31, 2024
gpt-4o-guardrails-gone-data-poisoning-jailbreak-tuning
Data Poisoning in LLMs: Jailbreak-Tuning and Scaling Laws
scaling-laws-for-data-poisoning-in-llms
Beyond the Board: Exploring AI Robustness Through Go
December 21, 2023
beyond-the-board-exploring-ai-robustness-through-go
Can Go AIs be adversarially robust?
can-go-ais-be-adversarially-robust
Pacing Outside the Box: RNNs Learn to Plan in Sokoban
July 24, 2024
pacing-outside-the-box-rnns-learn-to-plan-in-sokoban
Planning behavior in a recurrent neural network that plays Sokoban
planning-behavior-in-a-recurrent-neural-network-that-plays-sokoban
Vienna Alignment Workshop 2024
September 10, 2024
vienna-alignment-workshop-2024
NOLA Alignment Workshop 2023
February 7, 2024
nola-alignment-workshop-2023
We Found Exploits in GPT-4’s Fine-tuning & Assistants APIs
December 21, 2023
we-found-exploits-in-gpt-4s-fine-tuning-assistants-apis
Exploiting Novel GPT-4 APIs
exploiting-novel-gpt-4-apis
Uncovering Latent Human Wellbeing in LLM Embeddings
September 12, 2023
uncovering-latent-human-wellbeing-in-llm-embeddings
Uncovering Latent Human Wellbeing in Language Model Embeddings
uncovering-latent-human-wellbeing-in-language-model-embeddings
VLM-RM: Specifying Rewards with Natural Language
October 19, 2023
vlm-rm-specifying-rewards-with-natural-language
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
vision-language-models-are-zero-shot-reward-models-for-reinforcement-learning
Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
February 4, 2025
illusory-safety-redteaming-deepseek-r1-and-the-strongest-fine-tunable-models-of-openai-anthropic-and-google
Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
illusory-safety-redteaming-deepseek-r1-and-the-strongest-fine-tunable-models-of-openai-anthropic-and-google
Uncovering Latent Human Wellbeing in Language Model Embeddings
February 19, 2024
uncovering-latent-human-wellbeing-in-language-model-embeddings
Uncovering Latent Human Wellbeing in LLM Embeddings
uncovering-latent-human-wellbeing-in-llm-embeddings
