TechniqueRLHF / Alignment8 recent entries9 Oct 2026Alignment is a human-AI workflow: how Custom Views make agent review possibleAutomated evals can score every agent session, but they do not automatically reflect what your team considers a good outcome. That takes human judgment. The post Alignment is a human-AI workflow: how →9 Oct 2026A Survey on LLM-Integrated Hardware Design VerificationarXiv:2610.10580v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly being integrated into hardware verification to automate specification interpretation, verification-artif
TechniqueRAG8 recent entries9 Oct 2026RFChipAgent: Multi-Agentic AI Flow for Analog/RF Chip DesignarXiv:2610.10858v1 Announce Type: cross Abstract: Analog/RF circuits remain the critical interface between digital computation and the physical world, and emerging standards from Wi-Fi 7 to 6G place s→12 Oct 2026WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound CarearXiv:2504.06185v3 Announce Type: replace-cross Abstract: Chronic wounds affect a large population, particularly the elderly and diabetic patients, who often exhibit limited mobility and co-existing h→12 Oct 2026Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?arXiv:2607.09996v2 Announce Type: replace Abstract: Automated failure attribution uses LLMs to identify where and why agentic systems fail. As agents become more capable, their failures become subtler→12 Oct 2026Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge GrapharXiv:2610.13695v1 Announce Type: new Abstract: Any automation within reliability-critical contexts such as medicine or law has to be transparent and verifiable. Despite their advantages, current LLM-→12 Oct 2026SmartSalesBench: A Resistance-Aware Multi-Turn Benchmark for Evaluating LLM Sales AgentsarXiv:2610.12975v1 Announce Type: new Abstract: We present SmartSalesBench, the first multi-turn conversational benchmark explicitly designed to evaluate large language model (LLM) sales agents agains→12 Oct 2026Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging DataarXiv:2610.13637v1 Announce Type: cross Abstract: Machine learning models are increasingly used for automated feature extraction from weakly annotated bioimaging data, such as microscopy and cytomorph→12 Oct 2026Introducing DigitalOcean Agent Data Services: The Data Foundation for AgentsAgents are only as capable as the context they can reach. An agent with reliable access to the right information makes decisions grounded in fact; one without it guesses. And the work agents produce i→12 Oct 2026Can Language Models Play the Wikipedia Game?arXiv:2610.13948v1 Announce Type: new Abstract: Language models increasingly support or automate information retrieval from document collections too large to index. This task is difficult when it requ
TechniqueAgents8 recent entries12 Oct 2026EndoRSI: Physical-Evidence-Driven Recursive Improvement of Endoscopic Robot PoliciesarXiv:2610.13376v1 Announce Type: new Abstract: Artificial intelligence is beginning to automate scientific discovery, yet physical robot-policy research still relies on scientists and engineers to in→12 Oct 2026Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?arXiv:2502.11864v2 Announce Type: replace-cross Abstract: Agents in real-world scenarios like automated driving deal with uncertainty in their environment, in particular due to perceptual uncertainty.→12 Oct 2026Cubic Spline Interpolation for Smooth Trajectory Generation in Autonomous Motion SystemsarXiv:2610.12826v1 Announce Type: new Abstract: We presented a program that automates the construction and solution of the cubic spline interpolation problem for a sequence of position-time waypoints,→12 Oct 2026CB-Orchestrator: Adaptive Workflow Optimization for LLM Agents via Contextual BanditsarXiv:2610.13064v1 Announce Type: new Abstract: Large Language Model (LLM) agents have demonstrated remarkable capabilities in tackling complex tasks through agentic workflows. However, manually desig→12 Oct 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk EvaluationarXiv:2603.07427v3 Announce Type: replace Abstract: As Large Language Models (LLMs) evolve into autonomous agents, existing safety evaluations face a fundamental trade-off: manual benchmarks are costl→12 Oct 2026Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market AnalysisarXiv:2610.13273v1 Announce Type: cross Abstract: API specifications serve as critical documentation for modern software development, directly impacting integration efficiency and client code generati→12 Oct 2026A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network ModelsarXiv:2610.13663v1 Announce Type: new Abstract: Many machine learning approaches are two-level: an expert selects a class of methods, within this class the choice of key components is critical and usu→12 Oct 2026A Local Agentic AI Framework to Generate Edge Case Scenarios for Safety AssurancearXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s
TechniqueFine-tuning8 recent entries8 Oct 2026Nobody Truly Agrees on Sentiment: Humans, Bespoke Tools, and LLMs Struggle with Social Media TextsarXiv:2610.10318v1 Announce Type: new Abstract: Social media is a rich source of real-time public sentiment, but widely used sentiment analysis tools are often applied without understanding their limi→8 Oct 2026CircuitGate: Logic-Consistent Circuit-Level Functional Modeling for And-Inverter GraphsarXiv:2610.09549v1 Announce Type: new Abstract: And-Inverter Graphs (AIGs) are fundamental representations for logic synthesis and verification in Electronic Design Automation (EDA). As structured rep→9 Oct 2026NanoProof: Open and Efficient Automated Theorem Proving in Lean 4arXiv:2610.11605v1 Announce Type: cross Abstract: We introduce NanoProof, to our knowledge the first factorized execution-guided theorem prover in Lean 4 whose training data, extraction tooling, train→9 Oct 2026Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP SystemarXiv:2610.10650v1 Announce Type: new Abstract: Work zones are critical yet hazardous components of transportation infrastructure, requiring carefully designed Transportation Management Plans (TMPs) t→12 Oct 2026Splat2Act: From Captured Scenes to Personalized VLA ManipulationarXiv:2610.13945v1 Announce Type: new Abstract: A user who brings a generalist manipulation policy into their home or office wants it to pick up their objects from their shelves, counters, and tables.→12 Oct 2026Scaling Agentic Data for Long-Horizon Terminal IntelligencearXiv:2610.13166v1 Announce Type: new Abstract: Terminal agents are moving beyond local operations toward completing real-world professional tasks. Short trajectories can demonstrate commands and tool→12 Oct 2026Localized Generative Design of Ship Hulls with Diffusion Models and High-Fidelity AssessmentarXiv:2610.12870v1 Announce Type: cross Abstract: Practical ship design requires localized refinement and performance evaluation. This paper presents a reward-directed diffusion framework for localize→12 Oct 2026Expert-level detection of low-voltage intervals in EEG as a robust biomarker of neonatal encephalopathyarXiv:2610.12680v1 Announce Type: new Abstract: Background: Discontinuity in neonatal EEG is a critical marker of brain dysfunction but can be difficult to quantify visually. Inter-burst intervals (IB
TechniqueMultimodal8 recent entries9 Oct 2026GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal AwarenessarXiv:2510.00536v2 Announce Type: replace Abstract: Graphical user interface (GUI) agents built on vision-language models have emerged as a promising approach to automate human-computer workflows. How→9 Oct 2026Can LLMs Fix It Without Code? Toward Automated Verification of No-Code Bug FixesarXiv:2610.11963v1 Announce Type: cross Abstract: A no-code fix resolves an invalid bug report by directing the user to change a setting, update to a version where the problem is already fixed, or adj→12 Oct 2026WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound CarearXiv:2504.06185v3 Announce Type: replace-cross Abstract: Chronic wounds affect a large population, particularly the elderly and diabetic patients, who often exhibit limited mobility and co-existing h→12 Oct 2026Work2Skill: Capturing Human GUI Experience for Reusable Agent Skill InductionarXiv:2610.12984v1 Announce Type: new Abstract: Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human domain knowledge remain challengin→12 Oct 2026Splat2Act: From Captured Scenes to Personalized VLA ManipulationarXiv:2610.13945v1 Announce Type: new Abstract: A user who brings a generalist manipulation policy into their home or office wants it to pick up their objects from their shelves, counters, and tables.→12 Oct 2026Introducing DigitalOcean Agent Data Services: The Data Foundation for AgentsAgents are only as capable as the context they can reach. An agent with reliable access to the right information makes decisions grounded in fact; one without it guesses. And the work agents produce i→12 Oct 2026Can Language Models Play the Wikipedia Game?arXiv:2610.13948v1 Announce Type: new Abstract: Language models increasingly support or automate information retrieval from document collections too large to index. This task is difficult when it requ→12 Oct 2026A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network ModelsarXiv:2610.13663v1 Announce Type: new Abstract: Many machine learning approaches are two-level: an expert selects a class of methods, within this class the choice of key components is critical and usu
TechniqueSafety8 recent entries9 Oct 2026AuraLuxMuse: Adaptive Fusion Modeling for Aesthetic Stage Lighting Design with Music and Expert GuidancearXiv:2610.11792v1 Announce Type: cross Abstract: We present AuraLuxMuse, a novel system for automated aesthetic stage lighting design that integrates expert knowledge, representation learning, and pr→9 Oct 2026Alignment is a human-AI workflow: how Custom Views make agent review possibleAutomated evals can score every agent session, but they do not automatically reflect what your team considers a good outcome. That takes human judgment. The post Alignment is a human-AI workflow: how →12 Oct 2026Splat2Act: From Captured Scenes to Personalized VLA ManipulationarXiv:2610.13945v1 Announce Type: new Abstract: A user who brings a generalist manipulation policy into their home or office wants it to pick up their objects from their shelves, counters, and tables.→12 Oct 2026Reward Hacking as a Transmissible Strategy in Multi-Agent Coding SystemsarXiv:2610.12822v1 Announce Type: new Abstract: Multi-agent systems are increasingly used to solve coding tasks by coordinating agents that share code and plans. These agents are often optimized with →12 Oct 2026Hyper Algorithm Design Agent: Evolving Learnable Optimizer from ZeroarXiv:2609.35328v2 Announce Type: replace Abstract: Meta-Black-Box Optimization (MetaBBO) is one of the highlights in the recent AI for Optimization trend. This paradigm's bi-level workflow leverages →12 Oct 2026EndoRSI: Physical-Evidence-Driven Recursive Improvement of Endoscopic Robot PoliciesarXiv:2610.13376v1 Announce Type: new Abstract: Artificial intelligence is beginning to automate scientific discovery, yet physical robot-policy research still relies on scientists and engineers to in→12 Oct 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk EvaluationarXiv:2603.07427v3 Announce Type: replace Abstract: As Large Language Models (LLMs) evolve into autonomous agents, existing safety evaluations face a fundamental trade-off: manual benchmarks are costl→12 Oct 2026A Local Agentic AI Framework to Generate Edge Case Scenarios for Safety AssurancearXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s