TechniqueRLHF / Alignment8 recent entries9 Oct 2026Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion ModelsarXiv:2610.10859v1 Announce Type: new Abstract: Text-to-image diffusion models are increasingly distilled into few-step variants and being deployed to enable fast inference. However, their ability to →9 Oct 2026Beyond Imitation: A Framework and Benchmark for LLM-Assisted Peer ReviewarXiv:2610.11087v1 Announce Type: new Abstract: The rapid growth of scientific publishing has strained peer review, particularly in machine learning, raising concerns about declining review quality an
TechniqueRAG8 recent entries7 Oct 2026Retrieval Is Not Enough: Refreshing Memory for Frozen Time-Series ForecastersarXiv:2610.07834v1 Announce Type: new Abstract: Retrieval-augmented time-series forecasting uses the continuations of historical segments similar to the current context as references for a forecaster.→7 Oct 2026Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model FamilyarXiv:2504.18225v2 Announce Type: replace Abstract: We introduce a new generation of small reasoning models for RAG, search, and source summarization. Pleias-RAG-350m and Pleias-RAG-1B are mid-trained→8 Oct 2026Liquid AI builds personal AI around device-level contextOn-device personal AI requires models and agent software that can operate within fixed hardware limits. Developers also need ways to keep those systems improving after deployment. Model builders are r→9 Oct 2026Is Memorization Context-Sensitive? Prefix-Based Extraction Beyond Isolated PrefixesarXiv:2610.12085v1 Announce Type: new Abstract: Large language models (LLMs) can expose memorized training sequences under prefix-based extraction: given a prefix from a training example, the model ma→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 2026PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-RealarXiv:2610.13296v1 Announce Type: cross Abstract: High-precision retrieval over external knowledge bases is essential for LLM agents to operate effectively. However, existing Information Retrieval (IR→12 Oct 2026CRM: Retrieval Model with Controllable ConditionarXiv:2412.13844v2 Announce Type: replace-cross Abstract: Retrieval models for recommendation need to account for outcomes such as watch time while searching large item corpora efficiently. We present→12 Oct 2026CopRoute: Dependence-Aware Conformal Routing for Language ModelsarXiv:2610.13276v1 Announce Type: new Abstract: Set-based language model routing aims to increase the coverage of the event where at least one model answers a query correctly while controlling the num
TechniqueAgents8 recent entries12 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 2026EvoBelief: Falsifiable World Models for Self-Improving LLM AgentsarXiv:2610.12789v1 Announce Type: new Abstract: Self-evolving LLM agents typically improve how they act through accumulated experience, reflection, or skills. Yet even procedurally capable agents can →12 Oct 2026deepagents just hit 30k stars on github! deepagents is great for building agents that do complex work. they manage context well and use a du…deepagents just hit 30k stars on github! deepagents is great for building agents that do complex work. they manage context well and use a durable runtime. though inspired by coding agent design, deepa→12 Oct 2026Co-Modifying Application Code and Deployment Infrastructure: A Causal Study of AI Agent Pull RequestsarXiv:2610.12849v1 Announce Type: cross Abstract: Current software engineering agents are evaluated predominantly inside isolated sandboxes against synchronous local tests. However, deploying features→12 Oct 2026BT-Agent: Deploying Onboard Robot Agents with Behavior Trees and Multi-Fidelity EvaluationarXiv:2610.13862v1 Announce Type: new Abstract: Deploying language-model agents onboard mobile robots requires task reasoning and responsive execution within limited compute and memory. We propose BT-→12 Oct 2026AI governance shifts to runtime as always-on agents spreadAs enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platform→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 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
TechniqueFine-tuning8 recent entries12 Oct 2026DeltaLLM: Delta-Key Sparse Attention for Edge LLMsarXiv:2507.19608v2 Announce Type: replace Abstract: On-device LLM inference is increasingly important for edge platforms but remains challenging due to high computational and memory demands and tight →12 Oct 2026DeFM: Learning Foundation Representations from Depth for RoboticsarXiv:2601.18923v2 Announce Type: replace Abstract: Depth sensors are widely deployed across robotic platforms, and advances in fast, high-fidelity depth simulation have enabled robotic policies train→12 Oct 2026Continually Post-training Small Models via Synthetic Self-distillationarXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil→12 Oct 2026Behind-the-Meter Photovoltaic Visibility from Net Smart Meters: Deployment Regimes and Operational InsightsarXiv:2610.12527v1 Announce Type: new Abstract: Distribution operators need visibility of behind-the-meter photovoltaic (PV) generation, yet most residential customers are observed only through net sm→12 Oct 2026Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries RevealarXiv:2505.15738v3 Announce Type: replace-cross Abstract: Large language models are increasingly deployed in user-facing products that handle sensitive personal data while interacting with untrusted e→12 Oct 2026ATHLETE: Learning Reactive Humanoid Tennis via Trajectory-Guided Motion MatchingarXiv:2610.13572v1 Announce Type: new Abstract: Humanoid tennis requires reactive whole-body coordination under rapidly changing ball dynamics, yet collecting task-specific motion-capture demonstratio→12 Oct 2026AI Models Can Provably Hide Arbitrary CapabilitiesarXiv:2610.13928v1 Announce Type: new Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilit→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 2026RESCUE: Is This Alarm Worth Acting On? Counterfactual Evaluation of VLA Runtime MonitorsarXiv:2610.13516v1 Announce Type: cross Abstract: Runtime failure monitors for robot policies are typically evaluated by how accurately they distinguish failed from successful executions. Yet an accur→12 Oct 2026Noise Space Learning for VLA AdaptationarXiv:2610.13943v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) models encode broad manipulation priors, yet adapting them to specific tasks requires balancing limited robot in→12 Oct 2026GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose TransferarXiv:2610.12528v1 Announce Type: new Abstract: Continuous glucose monitoring (CGM) foundation models encode each day as one vector that mixes who the person is, what happened that day and how the sen→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 2026Evidence-Guided Counterfactual Learning for Long-Tailed Robotic PoliciesarXiv:2610.12861v1 Announce Type: new Abstract: In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbala→12 Oct 2026Efficient Audio-Visual Speech Enhancement via Reinforcement Learning-Based Neural Architecture SearcharXiv:2610.12796v1 Announce Type: cross Abstract: Audio-visual speech enhancement (AVSE) improves speech intelligibility in noisy environments but often relies on computationally expensive models unsu→12 Oct 2026Continually Post-training Small Models via Synthetic Self-distillationarXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil→12 Oct 2026Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries RevealarXiv:2505.15738v3 Announce Type: replace-cross Abstract: Large language models are increasingly deployed in user-facing products that handle sensitive personal data while interacting with untrusted e
TechniqueSafety8 recent entries12 Oct 2026Noise Space Learning for VLA AdaptationarXiv:2610.13943v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) models encode broad manipulation priors, yet adapting them to specific tasks requires balancing limited robot in→12 Oct 2026Evidence-Guided Counterfactual Learning for Long-Tailed Robotic PoliciesarXiv:2610.12861v1 Announce Type: new Abstract: In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbala→12 Oct 2026DistressBench: Evaluating Multi-Dimensional Crisis Support in Large Language ModelsarXiv:2610.12758v1 Announce Type: new Abstract: Language models have been adopted faster than evaluation practices that reliably assess their risks, and a growing share of use is affective rather than→12 Oct 2026CopRoute: Dependence-Aware Conformal Routing for Language ModelsarXiv:2610.13276v1 Announce Type: new Abstract: Set-based language model routing aims to increase the coverage of the event where at least one model answers a query correctly while controlling the num→12 Oct 2026Chronos Policy: Learning Robot Policies on Physical TimearXiv:2610.13929v1 Announce Type: new Abstract: Robot policies often convert sensing and control into fixed-rate observation-action sequences, leaving physical time implicit in sequence position. This→12 Oct 2026CeDR-Nav: Cross-Embodiment Mapless Navigation via Offline Demonstration RecastingarXiv:2610.13007v1 Announce Type: new Abstract: Learning-based methods have demonstrated strong performance in mapless robot navigation. However, a learned policy remains restricted to the embodiment →12 Oct 2026ATHLETE: Learning Reactive Humanoid Tennis via Trajectory-Guided Motion MatchingarXiv:2610.13572v1 Announce Type: new Abstract: Humanoid tennis requires reactive whole-body coordination under rapidly changing ball dynamics, yet collecting task-specific motion-capture demonstratio→12 Oct 2026Agreement Without Alignment: Label-Free Rubric Clarification Increases LLM-Judge Consensus but Not Agreement with HumansarXiv:2610.13303v1 Announce Type: cross Abstract: LLM judges are increasingly deployed as panels, and disagreement among panel members is often read as a symptom of an unclear rubric. We test a label-