TechniqueRLHF / Alignment8 recent entries14 Oct 2026AlphaRLM: Aligning Language Models for Literature-Grounded Symbolic Factor DiscoveryarXiv:2610.14959v1 Announce Type: cross Abstract: Formulaic alpha mining seeks to discover executable expressions that capture predictive market signals in a vast, noisy search space. Recent LLM-based→14 Oct 2026Adaptive Role Assignment and Controlled Feature Reconstruction for Federated Image Semantic CommunicationarXiv:2610.15623v1 Announce Type: new Abstract: Hybrid federated semantic communication enables user equipment (UEs) to contribute model updates or semantic features under a shared training framework.
TechniqueRAG8 recent entries14 Oct 2026ECHO: Correcting Time Series Foundation Model Forecasts with Historical Analogues and ErrorsarXiv:2610.16433v1 Announce Type: new Abstract: Time Series Foundation Models (TSFMs) provide general-purpose forecasting capabilities, yet their forecasts can remain misaligned with the temporal char→14 Oct 2026DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference WarpingarXiv:2610.14630v1 Announce Type: new Abstract: Dual-lens super-resolution (DuSR) aims to enhance a wide-angle low-resolution (LR) image by exploiting a telephoto reference (Ref) image. A central chal→14 Oct 2026DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data EnginearXiv:2610.17208v1 Announce Type: cross Abstract: Cutting a piece of food looks effortless in human hands. For a robot, however, every cut is a high-contact interaction with a deformable, elasto-plast→14 Oct 2026Deeply unrolled alternating projections for phase retrievalarXiv:2610.17316v1 Announce Type: cross Abstract: Deep unrolling methods for inverse problems augment traditional reconstruction algorithms with learned priors to improve their performance. These meth→14 Oct 2026CineMem: Attention-Aligned Fine-grained Memory Retrieval for Multi-Shot Long Video GenerationarXiv:2610.17926v1 Announce Type: new Abstract: Autoregressive video generation relies on memory retrieval to model long-range dependencies. This capability becomes particularly critical for multi-sho→14 Oct 2026ARMED: Adaptive Retrieval-Augmented Medication RecommendationarXiv:2610.16440v1 Announce Type: new Abstract: Medication recommendation requires jointly considering diagnoses, comorbidities, longitudinal patient history, and treatment interactions. Although rece→14 Oct 2026An Agentic AI System for Multi-Framework Communication CodingarXiv:2512.08659v2 Announce Type: replace-cross Abstract: Clinical communication is central to patient outcomes, yet large-scale human annotation of patient-provider conversation remains labor-intensi→14 Oct 2026A Persian Vision-Language-Action Dataset and Benchmark for Ambiguity- and Infeasibility-Aware Instruction-to-Plan GroundingarXiv:2610.15666v1 Announce Type: new Abstract: Converting natural-language instructions into executable action plans conditioned on a scene image is a core capability for embodied human-robot interac
TechniqueAgents8 recent entries14 Oct 2026Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault DiagnosisarXiv:2610.17786v1 Announce Type: cross Abstract: We study industrial fault diagnosis as a classification task that assigns sensor time-series windows to predefined health states or fault types. Scarc→14 Oct 2026Agentic Robot Creation through Generation, Verification, and RevisionarXiv:2610.17881v1 Announce Type: new Abstract: Can an AI agent turn high-level user intent into a functioning robot and teach it how to behave? We study this question from two complementary aspects: →14 Oct 2026Agentic-MatriBO: Capability-Compiled Agentic Bayesian Optimization for Materials and Chemical DesignarXiv:2610.17832v1 Announce Type: new Abstract: Materials and chemical optimization must choose the next synthesis, characterization, or high-fidelity simulation from sequential observations under a l→14 Oct 2026Agentic Data Engineering for LLMs: System Design and a Controlled Empirical StudyarXiv:2610.14238v1 Announce Type: cross Abstract: LLM data engineering requires iterative experimentation to determine how data selection, rewards, and curricula affect model learning, making it a nat→14 Oct 2026A Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical RoboticsarXiv:2610.15422v1 Announce Type: new Abstract: Haptic shared control in surgical robotics combines human-side and robot-side forces at a shared end effector while preserving operator involvement. How→14 Oct 2026A Production-Grade, High-Efficiency Agentic RL Framework for Frontier LLMs with Validated RecipesarXiv:2610.16352v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as a critical phase in the post-training pipeline of large language models (LLMs). As the frontier of LLM capabi→14 Oct 2026A Persian Vision-Language-Action Dataset and Benchmark for Ambiguity- and Infeasibility-Aware Instruction-to-Plan GroundingarXiv:2610.15666v1 Announce Type: new Abstract: Converting natural-language instructions into executable action plans conditioned on a scene image is a core capability for embodied human-robot interac→14 Oct 2026A Gated Catchment Hydrology Model (GCHM) for Physically-Interpretable Rainfall-Evapotranspiration-Runoff Simulation Across Diverse Hydroclimatic RegimesarXiv:2610.14493v1 Announce Type: new Abstract: Recent advances in machine learning have improved rainfall-runoff prediction, yet most data-driven models remain difficult to interpret and do not expli
TechniqueFine-tuning8 recent entries14 Oct 2026Building age estimation based on widely available multi-source1 geospatial dataarXiv:2610.16320v1 Announce Type: new Abstract: Building age is fundamental for urban infrastructure safety, operation, and planning, as it directly affects structural safety, and sustainable developm→14 Oct 2026Bidirectional Adaptive Transformers for Multimodal Anomaly DetectionarXiv:2610.14598v1 Announce Type: new Abstract: The effective integration of features derived from RGB images and 3D point clouds presents a substantial challenge in the field of multimodal anomaly de→14 Oct 2026Beyond Safe Execution: Safe Online Reinforcement Learning for Autonomous Driving with Value Calibration and Adaptive GuidancearXiv:2610.17799v1 Announce Type: new Abstract: Online reinforcement learning (RL) enables driving policies to adapt to changing deployment conditions, but requires safe exploration throughout trainin→14 Oct 2026BaT-SAM: Introducing Inductive Bias into SAM via a Mixture of Convolutional Experts for Brain Tumor SegmentationarXiv:2610.15330v1 Announce Type: new Abstract: Accurate brain tumor segmentation from magnetic resonance imaging (MRI) is essential for diagnosis and treatment planning; however, manual delineation i→14 Oct 2026BARTER: Compact Dynamic Sparse Training with Standard Dense KernelsarXiv:2610.16147v1 Announce Type: new Abstract: Dynamic sparse training (DST) aims to reduce training costs while maintaining accuracy. Existing DST methods mask out parameters but keep matrix dimensi→14 Oct 2026ARMED: Adaptive Retrieval-Augmented Medication RecommendationarXiv:2610.16440v1 Announce Type: new Abstract: Medication recommendation requires jointly considering diagnoses, comorbidities, longitudinal patient history, and treatment interactions. Although rece→14 Oct 2026Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal ReasoningarXiv:2610.15810v1 Announce Type: new Abstract: The introduction of long chain-of-thought (CoT) reasoning and external tools has substantially improved the performance of multimodal large language mod→14 Oct 2026A Survey of Flow Matching in Reinforcement LearningarXiv:2610.16275v1 Announce Type: new Abstract: Flow Matching (FM) has recently emerged as a principled and efficient generative modeling framework for reinforcement learning (RL), enabling expressive
TechniqueMultimodal8 recent entries14 Oct 2026AIRRI: Towards a Human-Readable, Machine-Resistant Reading InterfacearXiv:2610.18724v1 Announce Type: new Abstract: The rapid advancement of image-to-text extraction systems and large language models (LLMs) poses new challenges for educational assessment by making ass→14 Oct 2026Agentic Robot Creation through Generation, Verification, and RevisionarXiv:2610.17881v1 Announce Type: new Abstract: Can an AI agent turn high-level user intent into a functioning robot and teach it how to behave? We study this question from two complementary aspects: →14 Oct 2026AERR-Nav: Adaptive Exploration-Recovery-Reminiscing Strategy for Zero-Shot Object NavigationarXiv:2603.17712v1 Announce Type: cross Abstract: Zero-Shot Object Navigation (ZSON) in unknown multi-floor environments presents a significant challenge. Recent methods, mostly based on semantic valu→14 Oct 2026Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal ReasoningarXiv:2610.15810v1 Announce Type: new Abstract: The introduction of long chain-of-thought (CoT) reasoning and external tools has substantially improved the performance of multimodal large language mod→14 Oct 2026A Survey of Flow Matching in Reinforcement LearningarXiv:2610.16275v1 Announce Type: new Abstract: Flow Matching (FM) has recently emerged as a principled and efficient generative modeling framework for reinforcement learning (RL), enabling expressive→14 Oct 2026A Persian Vision-Language-Action Dataset and Benchmark for Ambiguity- and Infeasibility-Aware Instruction-to-Plan GroundingarXiv:2610.15666v1 Announce Type: new Abstract: Converting natural-language instructions into executable action plans conditioned on a scene image is a core capability for embodied human-robot interac→14 Oct 2026A Multi-Task Deep Learning Framework for Pose-Invariant Face Recognition and Facial Landmark LocalizationarXiv:2610.16849v1 Announce Type: new Abstract: Face recognition systems often experience performance degradation under large pose variations due to changes in facial appearance and visibility of disc→14 Oct 2026A Concept-informed Interpretable Artificial Intelligence Framework for Breast Ultrasound DiagnosisarXiv:2610.16128v1 Announce Type: new Abstract: Most existing artificial intelligence systems for breast ultrasound rely primarily on image-driven prediction, with limited incorporation of the knowled
TechniqueSafety8 recent entries14 Oct 2026Acceptable MisalignmentarXiv:2610.16881v1 Announce Type: cross Abstract: There is a specific challenge designers face in developing autonomous robots capable of open-ended learning. This challenge is how one can develop suc→14 Oct 2026A unified three-branch deep learning framework for automated detection and counting of wildlife in aerial imageryarXiv:2610.17067v1 Announce Type: new Abstract: Automating aerial wildlife surveys requires reliable animal detection, consistent delineation of observation strips, and correction for repeated coverag→14 Oct 2026A Survey of Flow Matching in Reinforcement LearningarXiv:2610.16275v1 Announce Type: new Abstract: Flow Matching (FM) has recently emerged as a principled and efficient generative modeling framework for reinforcement learning (RL), enabling expressive→14 Oct 2026A Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical RoboticsarXiv:2610.15422v1 Announce Type: new Abstract: Haptic shared control in surgical robotics combines human-side and robot-side forces at a shared end effector while preserving operator involvement. How→14 Oct 2026A Production-Grade, High-Efficiency Agentic RL Framework for Frontier LLMs with Validated RecipesarXiv:2610.16352v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as a critical phase in the post-training pipeline of large language models (LLMs). As the frontier of LLM capabi→14 Oct 2026A Hybrid Gaussian Process-Extreme Gradient Boosting Machine Learning Framework for Robust Knockdown Factor Prediction and Reliability-Based Design of Thin Spherical Shell CapsarXiv:2610.15862v1 Announce Type: new Abstract: Elastic buckling remains a critical concern in the design of deep spherical shell caps, given that experiments reveal a significant reduction of critica→14 Oct 2026A Concept-informed Interpretable Artificial Intelligence Framework for Breast Ultrasound DiagnosisarXiv:2610.16128v1 Announce Type: new Abstract: Most existing artificial intelligence systems for breast ultrasound rely primarily on image-driven prediction, with limited incorporation of the knowled→14 Oct 2026A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judgearXiv:2610.18108v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as judges to predict which of two candidate answers a human evaluator would prefer, providing a scala