TechniqueRLHF / Alignment8 recent entries12 Oct 2026SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News DetectionarXiv:2610.13207v1 Announce Type: new Abstract: Fake news detection under low resource conditions is challenged by the scarcity of labeled data and the difficulty of capturing subtle deceptive pattern→12 Oct 2026ReasoningShield: Safety Detection over Reasoning Traces of Large Reasoning ModelsarXiv:2505.17244v3 Announce Type: replace-cross Abstract: Large Reasoning Models (LRMs) leverage explicit reasoning traces, known as Chain-of-Thought (CoT) reasoning, to decompose complex problems int
TechniqueRAG8 recent entries9 Oct 2026Forms of LLM-Integrated Applications from LLM-Chats to Autonomous AI Agent SystemarXiv:2610.11899v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly embedded as components in software systems, marketed under labels such as chatbot, copilot, retrieval-au→12 Oct 2026Web$hell: A Unified Interface for Agentic Web AccessarXiv:2610.13416v1 Announce Type: new Abstract: Large language model (LLM) agents are becoming direct users of the open web. As they take on increasingly complex and information-intensive tasks, effec→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 2026SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News DetectionarXiv:2610.13207v1 Announce Type: new Abstract: Fake news detection under low resource conditions is challenged by the scarcity of labeled data and the difficulty of capturing subtle deceptive pattern→12 Oct 2026Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QAarXiv:2610.13128v1 Announce Type: new Abstract: Question answering over large heterogeneous document collections requires first finding the right passages and then reading them, yet current retrieval-→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 2026DRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation DesignarXiv:2610.13116v1 Announce Type: new Abstract: As large language models (LLMs) acquire advanced biological design capabilities, they offer substantial research benefits but simultaneously introduce s→12 Oct 2026AgentTune: A Unified Training Lifecycle for Tool-Using LLM AgentsarXiv:2610.13335v1 Announce Type: new Abstract: Tool-using agents increasingly require a common substrate for building, training, evaluating, distilling, and maintaining agentic systems, yet existing
TechniqueAgents8 recent entries12 Oct 2026APEX-Harm: Evaluating Agent Safety in Shared Professional WorkspacesarXiv:2610.13623v1 Announce Type: cross Abstract: Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and busine→12 Oct 2026AgentTune: A Unified Training Lifecycle for Tool-Using LLM AgentsarXiv:2610.13335v1 Announce Type: new Abstract: Tool-using agents increasingly require a common substrate for building, training, evaluating, distilling, and maintaining agentic systems, yet existing →12 Oct 2026Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingarXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge →12 Oct 2026Agentic Large Language ModelsarXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has→12 Oct 2026Agentic data science with the Data Agent KitImagine your compliance team notices that payments are taking longer than expected to clear. They suspect fraud, and you’re the data scientist helping figure out which transactions to investigate firs→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 202610 Years of the SRE book: Announcing the second edition of 'Site Reliability Engineering”A decade ago, Google released Site Reliability Engineering: How Google Runs Production Systems with O'Reilly Media. What began as a collection of our practices for managing large-scale infrastructure →13 Oct 2026open-source desktop agent app running its agents on local ollama models: two agents on qwen3.5:9b and qwen3.8 on a 16 gb card, real recording, including the limits i hiti'm the maintainer of dodaios (formerly personal jarvis), an open-source ai agent app for the desktop. apache 2.0, runs on windows, macos and linux, no account and no cloud of ours between you and you
TechniqueFine-tuning8 recent entries12 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 2026RATED: Reliability-Aware AI Agent Tool Retrieval via Execution DynamicsarXiv:2610.13889v1 Announce Type: new Abstract: As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behavior. Existing methods optimize semantic relevance bu→12 Oct 2026Quality, Not Just Outcome: A Structural Scoring Framework for Selecting Coding-Agent Trajectories for Supervised Fine-TuningarXiv:2610.13152v1 Announce Type: new Abstract: Open coding agents are commonly trained through supervised fine-tuning on interaction trajectories whose final patches pass the benchmark test suite. Ho→12 Oct 2026QLoRA on ExLlamaV3 Quants - Train @ 2-8bpwEXL3-QLoRA I've built this over the last few months and I think it's stable enough to share now. A fork of ExLlamaV3, this is a native ExLlamaV3 training implementation with plain PyTorch, without tra→12 Oct 2026PACT: Privileged Trace Co-Training for Multi-Turn Tool-Use AgentsarXiv:2606.16215v2 Announce Type: replace-cross Abstract: Multi-turn tool-use agents must reason, call tools, and adapt to observations across several interaction turns. Post-training such agents is c→12 Oct 2026Masked Diffusion Language Agents for Tool-Integrated Chemical ReasoningarXiv:2610.13330v1 Announce Type: new Abstract: Designing tool-integrated reasoning agent systems for complex chemical tasks remains a fundamental challenge. Although recent chemical agents have demon→12 Oct 2026Introducing DigitalOcean Signals and Simulations: see how your agents and models really behave in production, then test the fix before it shipsYou ship an agent. It mostly works. Then the feedback loop becomes a support ticket: a user got the wrong answer, a tool call looped four times, a refund went out that shouldn’t have. Standard observa→12 Oct 202610 Years of the SRE book: Announcing the second edition of 'Site Reliability Engineering”A decade ago, Google released Site Reliability Engineering: How Google Runs Production Systems with O'Reilly Media. What began as a collection of our practices for managing large-scale infrastructure
TechniqueMultimodal8 recent entries12 Oct 2026OccludeBench: Can VLMs Find What's Missing?arXiv:2610.13790v1 Announce Type: cross Abstract: How well can vision-language models (VLMs) reason about what is missing from an image? We study this question with OccludeBench, a manually curated be→12 Oct 2026MotionCoach: Constructing Multimodal Guidance for Video Professional Motion EditingarXiv:2610.12963v1 Announce Type: cross Abstract: Video editing models achieve strong performance in modifying appearance, backgrounds, styles, and motions, empowered by large-scale training data. Bey→12 Oct 2026Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QAarXiv:2610.13128v1 Announce Type: new Abstract: Question answering over large heterogeneous document collections requires first finding the right passages and then reading them, yet current retrieval-→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 2026Gamma: Grounded Multi-Agent Memory with Mechanical Audit for Memory-Intensive ManipulationarXiv:2610.12793v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) policies fail on memory tasks, behaviour that depends on events observed long before the current frame, because →12 Oct 2026Explore DNA with DeepMind’s AlphaGenome and in-browser MedGemma 1.5 4B via WebGPUHey everyone, Sharing an educational tool called AskCyph Health Explorer to explore how single-letter DNA mutations lead to disease, how they alter 3D anatomy, inheritance probabilities, and available→12 Oct 2026Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingarXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge →12 Oct 2026Acoustic Biomarkers for Alzheimer's Disease Detection from Spontaneous SpeecharXiv:2610.12500v1 Announce Type: cross Abstract: Alzheimer's disease (AD) remains a major public health challenge, and early identification is crucial for timely intervention and care planning. Recen
TechniqueSafety8 recent entries12 Oct 2026Rollout-Time Intervention: Unlocking Agentic Reinforcement Learning Beyond Policy LimitsarXiv:2610.13438v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as a key paradigm for improving large language model (LLM) agents, enabling stronger reasoning, planning, and to→12 Oct 2026ReasoningShield: Safety Detection over Reasoning Traces of Large Reasoning ModelsarXiv:2505.17244v3 Announce Type: replace-cross Abstract: Large Reasoning Models (LRMs) leverage explicit reasoning traces, known as Chain-of-Thought (CoT) reasoning, to decompose complex problems int→12 Oct 2026Proactive Agentic OrchestrationarXiv:2610.13485v1 Announce Type: new Abstract: Agentic orchestration delegates tasks to sub-agents with independent contexts, providing a key path to extending the effective execution horizon of larg→12 Oct 2026MotionCoach: Constructing Multimodal Guidance for Video Professional Motion EditingarXiv:2610.12963v1 Announce Type: cross Abstract: Video editing models achieve strong performance in modifying appearance, backgrounds, styles, and motions, empowered by large-scale training data. Bey→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 2026APEX-Harm: Evaluating Agent Safety in Shared Professional WorkspacesarXiv:2610.13623v1 Announce Type: cross Abstract: Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and busine→12 Oct 2026Agentic Large Language ModelsarXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has→12 Oct 2026ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring ScenariosarXiv:2510.10998v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly under scrutiny for perpetuating identity-based discrimination in high-stakes domains such as hir