The CVPR program chairs acted on the reviewing crisis in ML/CV conferences. This is a first!

Papers of authors who acted as irresponsable reviewers have been desk rejected. 19 papers are affected in 2025.

This has also been announced for ICCV 2025.

Demis Hassabis, James Manyika, and I wrote up an overview of the AI research work & advances across Google in 2024 (Gemini, NotebookLM, robotics, ML for science, & advances in responsible AI+more). 🎊

Given it a read or paste it into NotebookLM to listen, if you prefer!

blog.google/technology/a...

Final Invited talk: Hannah Rose Kirk (Oxford)
Putting the H Back in RLHF: Challenging assumptions of human behaviour for AI alignment — #behavioralml workshop at #neurips2024 #neurips #neurips24 behavioralml.org

Behavioral ML workshop at #neurips2024 behavioralml.org #neurips24 #neurips — amazing room of work!

3:45-4:15pm: Invited talk: Hoda Heidari (CMU)
Examining large language models as qualitative research participants — really relevant work for LLM human behavior simulation. #neurips2024 #neurips #neurips24

Invited talk: Sendhil Mullainathan (MIT) on
Misunderstandings for the #behavioralml workshop. The understandings between human and algorithm. The room is packed! #neurips2024 #neurips #neurips24 behavioral.org

Standing room only at #BehavioralML workshop! 1:00-1:30pm: Invited talk: Tom Griffiths (Princeton)
Combining theory and data to predict and explain human decisions #neurips2024 #neurips24 #neurips behavioralml.org

Behavioral ML workshop expert panel (behavioralml.org) 10:45-11:45am: Panel (Michael Bernstein, Andreea Bobu, Tom Griffiths, Hoda Heidari, Hannah Rose Kirk, Jon Kleinberg, Sendhil Mullainathan, moderated by Katie Collins) #neurips2024 #neurips #neurips24 #behavioralml

Learning to Cooperate with Humans using Generative Agents (Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du, Natasha Jaques) — looking at performance in the Overcooked multi agent game! @natashajaques.bsky.social #neurips2024 #neurips24 #neurips #behavioralml

Words that work: Using language to generate hypotheses (Rafael M. Batista, James Ross) #neurips2024 #neurips #neurips24 #behavioralml workshop behavrioralml.org

Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making (Manuel Cherep, Nikhil Singh, Patricia Maes) #neurips2024 #neurips #neurips24 #behavioralml workshop

The Double-Edged Sword of Behavioral Responses in Strategic Classification (Raman Ebrahimi, Kristen Vaccaro, Parinaz Naghizadeh) #neurips2024 #neurips24 #neurips #behavioralml

Spotlight talks for #behavioralml #neurips2024 #neurips24 #neurips behavioral.org PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences (Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak)

“Can we create general purpose computational human behavior across domains?” “behavioral simulation empowers science and design.” From the Sims to LLMs. Dr. Michael Berstein (Stanford) #neurips24 #behavioralml #neurips behavioralml.org

“Structure learning by learning representations.” Design to represent human cognition enables more efficient human aligned robot learning. From Dr. Andreea Bobu (MIT) #behavioralml #neurips24 #neurips behavioralml.org

Schedule for today’s #behavioralml workshop at #neurips24. behavioralml.org #neurips

At the Behavioral ML workshop. #neurips24 behavioralml.org