Tool use, function calling, orchestration and the protocols that let models act rather than only answer.
arXiv:2610.33024v1 Announce Type: cross Abstract: Harness self-evolution offers a practical route for LLM agents to improve from execution experience without updating model parameters. Its effectiven...
arXiv:2610.33191v1 Announce Type: cross Abstract: Embodied conversational AI can be persuasive, but can it motivate people to develop sustainable behavioral tendencies and increase pro-environmental...
arXiv:2610.33728v1 Announce Type: cross Abstract: In large language model (LLM)-based multi-agent systems, reported confidence increasingly determines the allocation of scarce downstream attention, c...
arXiv:2610.33746v1 Announce Type: cross Abstract: Protein annotation agents must choose suitable bioinformatics tools, interpret their outputs, and use the resulting evidence in the final answer. Mos...
arXiv:2610.33778v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) have demonstrated impressive performance when integrated into robot manipulation pipelines, but real-world evaluation o...
arXiv:2610.34258v1 Announce Type: cross Abstract: Enterprise sales-order systems rely on manually maintained configuration rules to determine fields such as payment terms, shipping points, and sales...
arXiv:2610.34633v1 Announce Type: cross Abstract: Repository-level code migration rewrites an entire project in a new programming language while preserving its observable behavior. It is challenging...
arXiv:2610.34872v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) can improve factual grounding without guaranteeing that every generated claim is supported. Previous work has st...
arXiv:2610.34943v1 Announce Type: cross Abstract: Large Reasoning Models (LRMs) generate long reasoning traces that expose intermediate inference behavior, offering opportunities to study and control...
arXiv:2610.35391v1 Announce Type: cross Abstract: High-fidelity digital twins in continuous biomanufacturing are often bottlenecked by incomplete kinetic models, while standard data-driven algorithms...
arXiv:2610.25959v2 Announce Type: replace Abstract: Building embodied agents that can perceive, reason, and act across diverse 3D worlds is a central research direction toward artificial general inte...
arXiv:2605.14290v2 Announce Type: replace-cross Abstract: ReAct has become the default architecture across LLM agents, and many existing web agents follow this paradigm. We argue that it is the wrong...
arXiv:2609.26131v2 Announce Type: replace-cross Abstract: Large language models and vision-language models are increasingly used as high-level planners in robotic systems, using task goals and sensor...
arXiv:2610.32678v1 Announce Type: cross Abstract: Crystal materials are designed either by screening known crystals for a target property or by generating new crystals with that property. Both routes...
arXiv:2511.21638v4 Announce Type: replace Abstract: Practical LLM agents often operate over multi-turn conversations where success is determined only after the full interaction ends. Most multi-turn...
arXiv:2603.02604v3 Announce Type: replace Abstract: We introduce Heterogeneous Agent Collaborative Reinforcement Learning (HACRL), a new Reinforcement Learning from Verifiable Reward (RLVR) problem t...
arXiv:2610.33366v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to support research idea generation and scientific discovery. Multi-agent debate offers a collaborat...
arXiv:2610.33568v1 Announce Type: new Abstract: Successful tool-use trajectories are not necessarily useful supervision. Even successful interactions may underrepresent multi-step dependencies or con...
arXiv:2610.34073v1 Announce Type: new Abstract: Memory is increasingly used in long-horizon agents, yet the net value of building memory over direct retrieval from raw history remains largely unclear...
arXiv:2610.34653v1 Announce Type: new Abstract: Latency-sensitive spoken agents must know not only which tool to call, but also when they have heard enough to act. Waiting for the turn to complete de...