TechniqueRLHF / Alignment8 recent entries8 Oct 2026Beyond Masks and Trajectories: Flow-Guided Latent Action Injection for Stable Surgical Video GenerationarXiv:2610.09800v1 Announce Type: new Abstract: Surgical video generation holds substantial potential for surgical education, simulation, and data augmentation, yet generating surgical videos with rea→8 Oct 2026A Framework for the Systematic Review of ML Assets in AI RegistriesarXiv:2610.09551v1 Announce Type: new Abstract: Background: Modern software systems increasingly rely on Machine Learning (ML) assets (i.e., pre-trained models, datasets, benchmarks) for building, eva
TechniqueRAG8 recent entries6 Oct 2026NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRIarXiv:2610.06502v1 Announce Type: new Abstract: Content-based image retrieval (CBIR) in neuroimaging enables the identification of structurally similar brain scans, supporting diagnosis, prognosis, an→7 Oct 2026SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data SynthesisarXiv:2610.08093v1 Announce Type: cross Abstract: Developing reliable models for clinical tasks, such as Medical Question Answering (QA), is severely constrained by the limited availability of high-qu→7 Oct 2026CuratorMAS: Automating Dataset Curation via Multi-Agent OrchestrationarXiv:2610.07075v1 Announce Type: new Abstract: High-quality datasets are essential for reliable machine learning, but dataset curation remains costly and hard to generalize across domains. Existing m→7 Oct 2026ARIA: Audio-Driven Melody-Tone Relation Modeling for Cantonese Lyric AuthoringarXiv:2610.07902v1 Announce Type: new Abstract: Cantonese lyric writing requires close alignment between lexical tones and melodic pitch. Existing melody-guided lyric generation methods typically rely→8 Oct 2026TopoGraphRAG-Bench: Evaluating Multimodal GraphRAG on Layout-Grounded Evidence ReasoningarXiv:2610.09360v1 Announce Type: cross Abstract: Real-world documents distribute evidence across text, tables, figures, and captions within complex page layouts. Answering complex questions over such→8 Oct 2026SPLATIFY: Reproduce, Discover, Innovate! From Papers and Ideas to Trainable 3DGS CodearXiv:2610.09116v1 Announce Type: new Abstract: The rapid growth of 3D Gaussian Splatting (3DGS) research demands significant effort to reimplement papers before building on them. We introduce SPLATIF→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 2026Enhancing Legal Reasoning in Pre-trained Language Models via Knowledge Graph-Guided Multi-Task Pre-trainingarXiv:2610.13722v1 Announce Type: new Abstract: Legal language understanding requires reasoning over semi-structured regulatory documents, yet standard pre-training objectives do not explicitly target
TechniqueAgents8 recent entries9 Oct 2026Scaling Verifiable Environments for Long-horizon Work AgentsarXiv:2610.04906v2 Announce Type: replace-cross Abstract: Work agents operate over digital artifacts to execute professional knowledge-intensive work, requiring training environments that support long→9 Oct 2026Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without TrainingarXiv:2610.10984v1 Announce Type: new Abstract: We present Fluid-Gen-Zero, a training-free framework for physics-aware fluid-object interaction video generation that decouples physical reasoning from →9 Oct 2026Closed-loop evaluation of LLM agents for embedded software developmentarXiv:2610.11447v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as coding agents that edit files, run builds and tests, inspect execution results, and repair s→12 Oct 2026SqueezeBench: Saturation-Resilient Evaluation of Mathematical CapabilityarXiv:2610.13461v1 Announce Type: new Abstract: AI systems are making rapid progress in mathematics, but this progress is hard to measure. Benchmarks of solved problems saturate, and in benchmarks of →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 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 2026MagicBeanStalk: Escaping the RLVR Zero Advantage Trap with Recursive Data SynthesisarXiv:2610.12659v1 Announce Type: new Abstract: Data-centric scaling of RLVR has focused on collecting or generating verifiable training problems. However, corpus size alone does not determine whether→12 Oct 2026Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop LearningarXiv:2610.12593v1 Announce Type: new Abstract: The continued improvement of large language models increasingly depends on synthetic experience, yet effective data synthesis for interactive agents req
TechniqueFine-tuning8 recent entries7 Oct 2026Navigating Route Latent Space for Synthesizable Molecular DesignarXiv:2610.07560v1 Announce Type: new Abstract: Goal-directed molecular design has advanced rapidly, yet a substantial proportion of designed molecules remain difficult to synthesize in practice, limi→7 Oct 2026Localize Any Object in X-Ray Security Scans without Human AnnotationarXiv:2610.07326v1 Announce Type: new Abstract: Universal object localization in X-ray security inspection is critical for automated threat detection in safety-critical venues. However, unlike everyda→8 Oct 2026SkillSandbox: Skill Verification via Dynamic Scenario SynthesisarXiv:2610.10088v1 Announce Type: cross Abstract: Self-evolving agents distill task-solving experience into skills for future reuse, but these skills can encode incorrect procedures or non-transferabl→8 Oct 2026CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-EvolutionarXiv:2610.10426v1 Announce Type: new Abstract: Terminal-agent capability depends jointly on model weights and the runtime harness that formats prompts, binds tools, and handles error recovery. Existi→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 2026LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video GenerationarXiv:2610.12442v1 Announce Type: new Abstract: Generating an egocentric video from a single exocentric recording is a challenging case of novel view synthesis, as the two cameras share little overlap→9 Oct 2026Is Real-World Training Data Necessary for Generalist Graph Anomaly Detection?arXiv:2610.12167v1 Announce Type: new Abstract: Generalist graph anomaly detection (GAD) aims to build a foundation model that detects anomalies on arbitrary unseen graphs without retraining or fine-t→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
TechniqueMultimodal8 recent entries8 Oct 2026TopoGraphRAG-Bench: Evaluating Multimodal GraphRAG on Layout-Grounded Evidence ReasoningarXiv:2610.09360v1 Announce Type: cross Abstract: Real-world documents distribute evidence across text, tables, figures, and captions within complex page layouts. Answering complex questions over such→8 Oct 2026Generative AI for Autonomous Driving: Frontiers and OpportunitiesarXiv:2505.08854v2 Announce Type: replace Abstract: Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled cap→8 Oct 2026GAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function ReasoningarXiv:2610.10201v1 Announce Type: cross Abstract: Joint spatial-geometric and analytic function reasoning requires translating a perceived spatial configuration into a symbolic function whose executed→9 Oct 2026TKCAM: Text and Keyframe to Camera Trajectory GenerationarXiv:2610.11105v1 Announce Type: new Abstract: Generating high-quality and controllable camera motion is essential for AI-assisted cinematography, video synthesis, and 3D scene understanding. We intr→9 Oct 2026Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without TrainingarXiv:2610.10984v1 Announce Type: new Abstract: We present Fluid-Gen-Zero, a training-free framework for physics-aware fluid-object interaction video generation that decouples physical reasoning from →9 Oct 2026A Survey on Industrial Anomaly SynthesisarXiv:2502.16412v3 Announce Type: replace Abstract: This paper presents a comprehensive review of industrial anomaly synthesis (IAS). Existing surveys on industrial anomalies mainly focus on anomaly d→12 Oct 2026SpatialASM: Internalizing Active Mentalization for Spatial ReasoningarXiv:2610.13832v1 Announce Type: cross Abstract: When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoints and mentally reconstruct the →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
TechniqueSafety8 recent entries9 Oct 2026When Scene Text Hijacks the Scene: Uncovering, Exploiting, and Mitigating Rendered-Text Semantic Leakage in Image Generation ModelsarXiv:2610.11286v1 Announce Type: new Abstract: The reliability and accountability of image generative models (IGMs) are essential for building responsible and trustworthy AI systems. Recent IGMs, suc→9 Oct 2026Verification and Self-Improvement in Agentic AI: Foundations and LimitsarXiv:2610.10611v1 Announce Type: new Abstract: Agentic AI systems can improve by searching longer, receiving additional support, or modifying how they propose and verify outputs. A performance score →9 Oct 2026Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System InteractionarXiv:2610.10549v1 Announce Type: new Abstract: Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and leg→9 Oct 2026SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement LearningarXiv:2610.11345v1 Announce Type: new Abstract: Self-evolving LLM agents promise to improve autonomously through continual interaction and learning, reducing their dependence on manually curated super→9 Oct 2026LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video GenerationarXiv:2610.12442v1 Announce Type: new Abstract: Generating an egocentric video from a single exocentric recording is a challenging case of novel view synthesis, as the two cameras share little overlap→9 Oct 2026Closed-loop evaluation of LLM agents for embedded software developmentarXiv:2610.11447v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as coding agents that edit files, run builds and tests, inspect execution results, and repair s→12 Oct 2026X-AVDD: Cross-Attentive Audio-Visual Dataset DistillationarXiv:2610.13687v1 Announce Type: cross Abstract: Audio-visual dataset distillation aims to synthesize a small dataset from a large paired audio-visual dataset, while nearly preserving the training ut→12 Oct 2026Recover, Discover, Plan: Learning Skills and Concepts from Robot FailuresarXiv:2606.18328v2 Announce Type: replace Abstract: Intelligent robots should not only recover from failures, but also acquire the abstract knowledge needed to avoid them in the future. While reinforc