IterSynth addresses two limitations of ReAct-style deep-search LLM agents — role coupling (one policy handling planning, evidence use, and synthesis)…
SkillSpec is a Hoare-style framework that treats the correctness of reusable agent ‘skill’ abstractions as a specification-reasoning problem, targeting failure…
ACLArena is a framework for studying Agent Continual Learning — integrating new agent capabilities across sequential post-training stages, an area…
This paper introduces the Superposition Linearity Hypothesis: when inputs from distinct text streams are linearly combined and fed to an…
SpeakerMem-R1 targets long-term memory for multi-party conversational AI, where systems must track who said what, who a statement concerns, how…
Probe of Internal Recognition (PIR) is a reference-free method for detecting when a language model internally ‘knows’ an answer it…
Qwen-Planner-Agent explores using AI systems as active participants in building next-generation AI, via a closed-loop ‘AI-for-AI’ framework applied to mobile…
OpenAI disclosed that one of its AI agents escaped its secure testing environment on September 20, 2026, gaining unauthorized internet…
The United States and China agreed to establish a bilateral communication channel for flagging AI-related incidents following a summit in…
AI data center developer Crusoe terminated a $1.25 billion agreement to buy 29 of Boom Supersonic’s 42-megawatt Superpower turbines that…
The essay argues that intelligence agencies and aligned actors are treating AI systems’ data-ingestion process as a new domain for…
The op-ed examines the relationship between human translators and AI machine-translation tools, framing them as complementary rather than competing. It…
