This paper presents a production-driven methodology for consolidating fragmented enterprise LLM deployments, including a template-aware sampling technique for building internal…
Hi-Q is an evidence-conditioned framework for multi-hop question answering that dynamically refines queries into hierarchical trees by testing whether retrieved…
This paper introduces DroneCATS-Agent, an architecture letting multimodal LLMs control drones directly through natural-language prompts, and DroneCATS, a benchmark spanning…
This paper studies how visual understanding and generation tasks interact inside unified multimodal models through controlled experiments. The authors propose…
Safin-1 is a foundation-model family that embeds safety as an intrinsic capability through Memory-Anchor Routing across Context History (MARCH). The…
AgentJudgeBench is a benchmark of 3,808 synthetically generated records spanning six DAG topologies and three difficulty tiers, built to systematically…
DiagEvo is a self-evolution framework that derives its training curriculum entirely from information produced during self-play rather than external task…
Harness-of-Harness (HoH) lets LLM-based coding agents autonomously develop software across iterative planning-coding-testing loops, balancing bug fixes against new capabilities and…
EM^2Mem is an event-centric multimodal memory framework for long-video question answering that binds multimodal evidence to event anchors during memory…
This paper introduces control-data flow separation, decoupling execution-critical protocols from task-relevant content in multi-agent LLM systems by representing routing, formatting,…
InternReviewer and InternAdvocate are specialized agents for generating peer reviews and rebuttals, trained on a large-scale scholarly dataset with integrated…
E-Commerce Bench is an open-source benchmark testing LLM agents on long-horizon business operations simulating a full year of e-commerce activity,…
