Addison J. Wu

Large Language Models Develop Novel Social Biases Through Adaptive Exploration
Addison J. Wu*, Ryan Liu*, Xuechunzi Bai, Thomas L. Griffiths
ICML 2026 Oral [arXiv]
Media coverage: The Guardian, Forbes, MIT Technology Review, Hacker News (Y Combinator), The Times of India, Gizmodo, Arizona's Family

How does Adversarial Influence Scale in Multi-Agent Systems?
Addison J. Wu*, Jasin Cekinmez*, Michel Liao*, Karthik Narasimhan, Thomas L. Griffiths
arXiv preprint, 2026 [arXiv]

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
Addison J. Wu*, Ryan Liu*, Shuyue Stella Li, Yulia Tsvetkov, Thomas L. Griffiths
COLM 2026 [arXiv]
Media coverage: Hacks/Hackers, The Indian Express; Cited in Senate testimony

Are Large Language Models Sensitive to the Motives Behind Communication?
Addison J. Wu*, Ryan Liu*, Kerem Oktar*, Theodore R. Sumers, Thomas L. Griffiths
NeurIPS 2025; PragLM @ COLM 2025 Oral [arXiv]

Query Timing Produces Opposite Positional Biases Between LLMs and Humans
Jasin Cekinmez*, Addison J. Wu*, Thomas L. Griffiths
EMNLP 2026 Findings; ICBINB @ ICLR 2026 Entropic Paper Award [arXiv]

Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu*, Jiayi Geng*, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
ICML 2025 [arXiv]
Media coverage: The Information [text]

Where did the ambiguity go? Examining how multimodal models interpret polysemous words
Jasin Cekinmez*, Addison J. Wu*, Raja Marjieh, Thomas L. Griffiths
Sci-FM @ COLM 2026 Oral [arXiv]

Quantifying Empirical Compute-Supervision Tradeoffs in RLVR
Ryo Mitsuhashi*, Patrick Chen*, Isabelle Tseng*, Jasin Cekinmez*, Addison J. Wu*
Workshop on Combining Benchmarks and Theory @ ICML 2026 [arXiv]

Guess the Unified Model: How Much Can We Recover from Generated Images?
Jasin Cekinmez*, Ryo Mitsuhashi*, Addison J. Wu*, Yida Yin
under review, 2026 [arXiv]

SportD: Can VLMs Physically Strategize?
Jasin Cekinmez*, Addison J. Wu*, Haotian Xia, Akshaya Bharadhwaj, Anay Putty, Anirudh Ravishankar, Jaewoong Lee, Jinglin Xiao, Kyumin Andrew Shim, Mishika Ahuja, Nisarga Patil, Leo Liu, Zhuohan Liu, Weining Shen
PhysUnderstand @ NeurIPS 2026 Oral [arXiv]

OccludeBench: Can VLMs See the Hint?
Jasin Cekinmez*, Addison J. Wu*, Ryo Mitsuhashi*, Linrong Cai, Xingyu Fu, Zhuang Liu
Computer Vision in the Wild @ CVPR 2026

CheatBench: Measuring Reward Gaming in AI Agents
Long Phan*, Stephen K. Yang*, Jason J. Lim*, Mantas Mazeika, Wenyu Zhang, Zheyuan Liu, Richard Ren, Jingxiang Meng, Yaoteng Tan, Weiliang Zhao, Addison J. Wu, Matei Anghel, Dan Hendrycks
arXiv preprint, 2026 [arXiv] [Website] [Code]
Media coverage: ZDNET

Toward a Neural Network-Based Approach for Improved Atmospheric Infrasound Source Localization
Addison J. Wu, Arnav Joshi, Jean-Pierre Hickey
IEEE Access, 2025 [Paper]