Research

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents

Researchers use conformal prediction to formally interpret how LLM agents understand and execute temporal actions, improving transparency into agentic behavior through statistical guarantees.

Thursday, April 23, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline

Researchers propose conformal prediction methods to interpret temporal concepts and action understanding in LLM agents, advancing the field of AI interpretability through formal statistical techniques.

Read original at arXiv CS.AI

FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources

FedACT enables concurrent federated learning across participants with heterogeneous data formats, solving coordination challenges in distributed ML without requiring all participants to standardize their schemas.