activity
20232026
most citedAI Alignment: A Comprehensive Survey

76 citations · 152 across the 39 of their papers we have counts for

collaborators
Showing 2025 · cs.AIShow all

8 papers · 2 filters

cs.AI2025

Are Your Agents Upward Deceivers?

Dadi Guo, Qingyu Liu, Dongrui Liu +13

Large Language Model (LLM)-based agents are increasingly used as autonomous subordinates that carry out tasks for users. This raises the question of whether they may also engage in…

cs.AI2025

AI Deception: Risks, Dynamics, and Controls

Boyuan Chen, Sitong Fang, Jiaming Ji +56

As intelligence increases, so does its shadow. AI deception, in which systems induce false beliefs to secure self-beneficial outcomes, has evolved from a speculative concern to an…

cs.AI2025

Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models

Sitong Fang, Shiyi Hou, Kaile Wang +6

Are frontier AI systems becoming more capable? Certainly. Yet such progress is not an unalloyed blessing but rather a Trojan horse: behind their performance leaps lie more insidiou…

cs.AI2025

Mitigating Deceptive Alignment via Self-Monitoring

Jiaming Ji, Wenqi Chen, Kaile Wang +8

Modern large language models rely on chain-of-thought (CoT) reasoning to achieve impressive performance, yet the same mechanism can amplify deceptive alignment, situations in which…

cs.AI2025

Generative RLHF-V: Learning Principles from Multi-modal Human Preference

Jiayi Zhou, Jiaming Ji, Boyuan Chen +6

Training multi-modal large language models (MLLMs) that align with human intentions is a long-term challenge. Traditional score-only reward models for alignment suffer from low acc…

cs.AI2025

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback

Boyuan Chen, Donghai Hong, Jiaming Ji +12

As multimodal large models (MLLMs) continue to advance across challenging tasks, a key question emerges: What essential capabilities are still missing? A critical aspect of human l…

cs.AI2025

When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning

Sitong Fang, Wenjing Cao, Jiahao Li +7

Reasoning models have attracted increasing attention for their ability to tackle complex tasks, embodying the System II (slow thinking) paradigm in contrast to System I (fast, intu…

cs.AI2025

Super Co-alignment of Human and AI for Sustainable Symbiotic Society

Yi Zeng, Feifei Zhao, Yuwei Wang +13

As Artificial Intelligence (AI) advances toward Artificial General Intelligence (AGI) and eventually Artificial Superintelligence (ASI), it may potentially surpass human control, d…