Function calling
Also known as: tool calling, tool use
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Timeline
- Oct 19, 2026 · Model release · 2 sourcesNemotron 3.5 Bolt, Muse Spark Open, and a Fast LFM2.5 24BNemotron 3.5, with a closer look at Bolt and its “native 2-bit” quantization
- Oct 18, 2026 · Open-source release · 2 sourcesGoogle Open-Sources Harness2, a Recursive Agent Harnessing FrameworkGoogle Cloud AI Research has open-sourced Harness2.
- Oct 17, 2026 · Tutorial / explainer · 14 sourcesLocal and Distributed Large LLM Inference with MLX and RDMA on Mac StudioIn this post, we show how to run the latest frontier-class model — Muse Spark Open, with nearly a trillion parameters — right from your desk, using the latest version of MLX, released today.
- Oct 17, 2026 · Opinion / analysis · 1 sourcemodel : add Kolibri-1 (Aleph-Alpha) support by riteme · Pull Request #30673 · ggml-org/llama.cppKolibri is Aleph Alpha's mixture-of-experts (MoE) reasoning model, with a focus on German and English.
- Oct 16, 2026 · Open-source release · 5 sourcesWelcome Beam: a 501B open model you can own, customize, and scaleBeam is focused on coding and agentic use cases.
- Oct 16, 2026 · Research paper · 1 sourceFrom Trajectories to Differentiated Skills: Cognitive Differentiation for Self-Improving AgentsInspired by cognitive science, we propose Cognitive Differentiation in Skill Evolution (CDSE), which evolves a unified skill through four functionally distinct yet coordinated components: Meta, Experience, Tool, and Script.
- Oct 16, 2026 · Research paper · 1 sourceSkillBrowser: Selective Skill Exposure for Scalable Skill-Using AgentsWe propose SkillBrowser, a Meta-Skill-managed framework that enables an agent to identify current capability needs, formulate targeted queries, and selectively load skills on demand.
- Oct 16, 2026 · Research paper · 1 sourceGatewayBench: Unified Capability and Security Evaluation Platform for MCP GatewaysTo address this gap, we introduce GatewayBench, the first unified evaluation framework and benchmark for MCP gateways.
- Oct 16, 2026 · Research paper · 1 sourceRobust Function Calling for LLM Agents Under Interface DriftTool-augmented language-model agents rely on interface text: tool descriptions, argument schemas, and the candidate tool list shown at inference time.
- Oct 16, 2026 · Research paper · 1 sourceMetaCurate: Evolving Curation Filters for High-Quality Agentic Coding DataWe introduce MetaCurate, a training-free framework that evolves executable trajectory curation filters using pairwise LLM judgments.
- Oct 16, 2026 · Research paper · 1 sourceBefore Retrieval Begins: Safety and Tool-Use Decisions in LLM AgentsLarge language models increasingly act as agents that call external tools, yet most tool-safety research examines only what follows a tool call.
- Oct 16, 2026 · Product / feature launch · 1 sourceLiquid AI Releases d1-ultra: A Multimodal Decision Model That Scores 65 on the AA Decision IndexLiquid AI has released d1-ultra, its most capable decision model to date.
- Oct 15, 2026 · Research paper · 1 sourceExplore Separately, Adopt Selectively: Execution-Guided Tool Use over Large Tool LibrariesLarge language model agents must discover relevant tools from large libraries, e.g., thousands of tools, as new needs arise during task execution.
- Oct 15, 2026 · Product / feature launch · 1 sourceopenai/codex rust-v0.163.0: 0.163.0Send a follow-up while Codex is responding to steer it immediately.
- Oct 15, 2026 · Research paper · 1 sourceEdit Discovery in Human-AI InteractionsHuman-AI interactions are becoming a rich source of data for improving AI systems: while many model responses are already satisfactory, others expose failures that could become valuable supervision if identified and corrected.
- Oct 15, 2026 · Open-source release · 1 sourcehuggingface/transformers v5.20.0: Release v5.20.0Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text.
- Oct 15, 2026 · Research paper · 1 sourceAuditKIT: A Unified Evaluation Spine for Benchmarking, Judging, and Comparing Large Language Models and Agentic SystemsEvaluating language models and agents requires combining benchmark accuracy, judge-based assessment, runtime performance, tool-use behavior, and retrieval quality.
- Oct 15, 2026 · Research paper · 2 sourcesMLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning EngineeringWe propose a post-training method for autonomous long-horizon MLE optimization and apply it to train MLExpert, a 35B Mixture-of-Experts agentic model.
- Oct 15, 2026 · Research paper · 1 sourceLearning to Steer LLM Agents and Multi-Agent SystemsLarge language model (LLM)-based agents and multi-agent systems increasingly tackle complex tasks through long-horizon tool use and inter-agent collaboration.
- Oct 15, 2026 · Research paper · 1 sourceInertially Significant Humanoid Teleoperation via Whole Body Model Predictive Control and Online Parameter EstimationThis paper showcases a general solution to this problem by integrating a whole body model predictive controller (WB-MPC) with an extended Kalman filter (EKF) for online estimation of fully physically consistent time-varying inertial parameters.
- Oct 15, 2026 · Research paper · 1 sourcePROBE: Learning to Audit Policy Compliance in Tool-Using LLM AgentsWe propose PROBE (Policy Rule Observation via Behavioral Exploration), an algorithm for training LLM-based auditors that interact with deployed agents as realistic users and probe them for policy violations through multi-turn, tool-mediated dialogue.
- Oct 15, 2026 · Research paper · 1 sourceRSIFlow: Adaptive Self-Improvement Workflows with an Evolving Meta-AgentWe propose RSIFlow, a Recursive Self-Improvement framework that integrates adaptive workflow orchestration with meta-agent capability evolution.
- Oct 15, 2026 · Research paper · 1 sourceRethinking the Role of Tool Graph Memory in Multi-Turn Tool UseLarge language model (LLM) agents solve complex tasks by calling external tools over multiple turns.
- Oct 15, 2026 · Model release · 3 sourcesApertus 1.5 Release NotesApertus 1.5 is a continued pretraining of the first generation model: adding 4 trillion tokens of text and multimodal training data to the 8B model and 2 trillion tokens to the 70B model, for a total of 19T and 17T, respectively.
- Oct 15, 2026 · Research paper · 1 sourceIncentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care PredictionWe propose TIR-EC, a tool-integrated reinforcement learning framework that addresses both.
- Oct 15, 2026 · Research paper · 2 sourcesEach Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RLWe propose MRTPO, which assigns the advantage of each reward to the tokens relevant to it, using the information its verifier checks, without auxiliary models or token-level annotations.
- Oct 15, 2026 · Research paper · 1 sourceGRADS: Graph-Regulated Agentic Data Synthesis with Controllable DifficultyTo address this problem, we introduce GRADS, a graph-guided agentic data synthesis framework with explicit difficulty control.
- Oct 14, 2026 · Research paper · 1 sourceMoCaP: Mobile Code-as-Policies for Zero-Shot Mobile Manipulation from Passive Human VideosTo overcome these challenges, we present mobile code-as-policy (MoCaP), an agentic framework that turns passive human video recordings into guidance for an end-to-end mobile manipulation policy.
- Oct 14, 2026 · Research paper · 2 sourcesMAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer EnvironmentsWe introduce MAI-Gym, an open all-in-one platform that unifies GUI agent evaluation, data collection, and online RL training across mobile, computer, and web environments.
- Oct 14, 2026 · Opinion / analysis · 1 sourceSabi-Noema: A capability and efficiency focused fine-tune of Qwen 3.8 27Btl;dr: new qwen finetune that simultaneously pushes the frontiers of small model capability and reasoning efficiency.