icml

At ICML 2026, K-pop group Kiss of Life performed in front of researchers, with the OpenAI logo seen behind Chungha, creating a surreal moment.

Anima Anandkumar announces four Lean-related papers from their group at ICML workshops, covering verified ML systems, functional program synthesis, proof assistant interoperability, and scientific reasoning, positioning Lean as infrastructure for AI.

Introduces TimesX, a new multimodal time-series forecasting benchmark with diverse real-world data and textual contexts, addressing generalization, data leakage, and context diversity issues.

This paper investigates how uncertainty about AI prediction quality affects human decision makers' ability to benefit from complementary information, finding that negative error correlation between human and AI predictions enables robust improvement strategies.

This ICML paper introduces recursive models that recursively invoke themselves to solve subtasks in isolated contexts, proving they can surpass context-bounded autoregressive models for long-horizon reasoning. Experiments on SAT solving and Go game-tree search show improved accuracy with small active contexts.

This paper formulates the decision of when to use search in LLMs as an instance-level search-routing problem, using counterfactual supervision to train and improve routing policies, achieving macro-F1 improvements on Gemma and Qwen models.

This paper investigates whether tool-use decisions in large language models have stable internal representations that can be extracted and manipulated via activation steering, demonstrating that heading-specific steering vectors can suppress unnecessary tool use across five open-source models and three domains. The geometric analysis reveals that tool-invocation steps exhibit diffuse, bimodal alignment rather than the clean linear structure expected for parametrically grounded concepts.

This paper shows that predictive coding networks compute the same gradients as backpropagation in the limit of width much larger than depth, bridging biological learning and standard neural network training.

Microsoft Research highlights from ICML 2026 include the Fara 1.5 computer-use agent family, critique-resilient benchmarking, expanded protein ML benchmarks with FLIP2, and improved LLM reasoning stability, with over 100 accepted papers.

Christopher Potts announces a new paper by Jing Huang and EkdeepL that investigates why larger models outperform smaller ones, tracing it to data-induced competition for neurons. The paper will be presented at the ICML HiLD workshop on July 10.

Elias Bareinboim announces his group's multiple ICML 2025 papers on causal AI, covering relational world models, robust offline RL, counterfactual identification, and causal game theory, highlighting the need for causal knowledge in AI reasoning.

This paper introduces Mining via Activation Geometry (MAG), an unsupervised framework that extracts reasoning features from LLM activations using natural-language instructions, enabling activation steering and effective training data selection for classifier probes.

This position paper proposes a credit system for ML conferences to incentivize quality reviewing by awarding points for good behavior and allowing redemption for perks.

A new ICML 2026 paper shows that spreading the same active weights across more neurons reduces collisions and improves accuracy in neural networks, suggesting networks can perform better without adding non-zero weights.

Announcement of the 5th DL4C workshop at ICML 2024 with theme 'Towards Human-Centered Coding Agents' and speakers Diyi Yang, Yuchong, Ludwig Schmidt, and Gabriel, to be held on July 10.

NVIDIA highlights how open frontier models and AI infrastructure are driving AI research, as reflected in accepted papers at ICML 2026, with contributions spanning robotics, life sciences, and synthetic data.

Charles wrote an article explaining what Modal is while on a flight to ICML in Seoul.

Zijian Wang announces hosting the 5th DL4Code workshop at ICML this Friday with an impressive speaker lineup and mentions two past interns presenting their papers at the main conference.

Saining Xie announces his attendance at ICML in Seoul and invites people to the AMI Labs × SBVA mixer on Thursday evening, a networking event for AI researchers and investors.

An ICML thread announces honorable mention papers for the Outstanding Paper award, including works on deception probes, motion attribution, and language model memorization.