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ICML2026

3 articles · Page 1 of 1
JD Retail Technology
JD Retail Technology
Aug 3, 2026 · Artificial Intelligence

NaviAgent: Tool Orchestration for Oxygen Agents via LLM Planning and Graph Navigation

Large language models struggle with multi‑tool tasks due to lack of global planning; NaviAgent introduces a dual‑layer architecture that separates LLM‑driven interaction decisions from a graph‑based tool navigation model, enabling stable, efficient orchestration of thousands of APIs and achieving higher task success rates across benchmarks.

ICML2026LLM planningdynamic API graph
0 likes · 16 min read
NaviAgent: Tool Orchestration for Oxygen Agents via LLM Planning and Graph Navigation
Data Party THU
Data Party THU
Jul 12, 2026 · Artificial Intelligence

How Counterfactual Policy Optimization Boosts Visual Fidelity in Multimodal Reasoning (ICML 2026)

The paper introduces Counterfactual Policy Optimization (CFPO), a training‑time framework that inserts causal consistency constraints into multimodal reinforcement learning, forcing vision‑language models to rely on essential visual evidence and achieving consistent accuracy gains across real‑world and math‑centric benchmarks.

ICML2026causal consistencycounterfactual
0 likes · 19 min read
How Counterfactual Policy Optimization Boosts Visual Fidelity in Multimodal Reasoning (ICML 2026)
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 9, 2026 · Artificial Intelligence

How Much Can Large Language Models Remember? ICML 2026 Finds ~3.6 bits per Parameter

An ICML 2026 award paper quantifies the memory capacity of GPT‑style language models, showing that each parameter stores roughly 3.6 bits of information, and explores how this capacity scales with model size, data volume, precision, and its impact on generalization and privacy risks.

GPTICML2026LLM
0 likes · 9 min read
How Much Can Large Language Models Remember? ICML 2026 Finds ~3.6 bits per Parameter