TechniqueRLHF / Alignment8 recent entries12 Aug 2026Bridging Event Streams and DiT: Event-Guided Video Frame InterpolationarXiv:2608.10479v1 Announce Type: new Abstract: Latent diffusion models have recently advanced video frame interpolation by synthesizing intermediate frames between input images. However, handling lar→12 Aug 2026Beyond Pixels: From Video Priors to 4D WorldsarXiv:2608.10744v1 Announce Type: new Abstract: 4D generation synthesizes dynamic 3D scenes from conditions such as text or images. Existing methods either reconstruct generated RGB videos with a sepa
TechniqueRAG8 recent entries12 Aug 2026How OneAdvanced deployed over 50 AI agents on UK-sovereign AWSLearn how OneAdvanced, a UK enterprise software provider, built a UK-sovereign AI platform by self-hosting Llama 4 Maverick and Llama Guard 4 on Amazon SageMaker AI, with a RAG pipeline on pgvector an→12 Aug 2026Graphical Models of False Information and Fact Checking EcosystemsarXiv:2208.11582v2 Announce Type: replace-cross Abstract: The wide spread of false information online, including misinformation and disinformation, has become a major problem for our highly digitised →12 Aug 2026GraFine: Retrieval-Time Refinement for Efficient Graph RAG over Corpus GraphsarXiv:2601.18579v2 Announce Type: replace-cross Abstract: Graph RAG on corpus graphs enhances retrieval by leveraging intermediate node content as contextual clues to uncover unretrieved oracle nodes.→12 Aug 2026EvoMem: Memory-Augmented Evolution for Code OptimizationarXiv:2608.10795v1 Announce Type: new Abstract: Successful mutation strategies in evolutionary code search may contain reusable knowledge that is useful beyond a single run, and in some cases may tran→12 Aug 2026DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous DrivingarXiv:2608.10413v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for end-to-end autonomous driving by enabling unified reasoning across→12 Aug 2026Diffract: Spectral View of LLM Domain AdaptationarXiv:2608.10850v1 Announce Type: new Abstract: We study continual pre-training (CPT) as a mechanism for adapting general-purpose large language models to specialized domains: mathematics, instruction→12 Aug 2026Covert Visual Prompt Injection against Commercial Multimodal Large Language ModelsarXiv:2603.29418v2 Announce Type: replace-cross Abstract: Although multimodal large language models (MLLMs) are increasingly deployed in real-world applications, their instruction-following behavior l→12 Aug 2026ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and GirlsarXiv:2608.11200v1 Announce Type: cross Abstract: Synthetic dialogue generation offers a way to study conversational dynamics in sensitive domains where real data are difficult to access, release, or
TechniqueAgents8 recent entries12 Aug 2026Agentic Instruction Data Selection: Let DataMaster Interpret Your IntentarXiv:2608.10579v1 Announce Type: new Abstract: Although existing instruction data selection methods have introduced various metrics, the inherent complexity of real-world datasets makes it impractica→12 Aug 2026Agentic AI infrastructure shifts enterprise focus from model choice to platform controlAs agentic AI infrastructure moves from experimentation into production, enterprises are confronting a more complex question than which model to use: how to control the cost, data exposure and infrast→12 Aug 2026Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using AgentsarXiv:2608.11110v1 Announce Type: new Abstract: When a tool-using agent is given the same task in a different language, does it still take the same steps? Multilingual evaluation rarely asks: it compa→12 Aug 2026Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic CritiquearXiv:2608.10430v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as AI agents frequently exhibit user specification-grounding failures, executing hallucinated, undesired actions→12 Aug 2026According to AMD, Arm, and Microsoft, agentic AI could push CPU-to-GPU ratios from 1:4 to even1:1In OCP APAC 2026, Tai AMD SVP of compute and enterprise AI said agents don't cut GPU demand but they just pile on a whole extra layer of orchestration, retrieval, and tool-calling work that runs on CP→12 Aug 2026A HamNoSys-Guided Dataset and Baselines for Fine-Grained Isolated Handshape Recognition in Sign LanguagearXiv:2608.10588v1 Announce Type: cross Abstract: Purpose: Fine-grained handshape recognition supports computational sign-language transcription, recognition, and translation, but broad, phonetically →12 Aug 2026A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona ProblemarXiv:2608.10760v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) has become the de-facto interface for connecting LLM agents to enterprise tools, and adoption has been explosive: wit→12 Aug 20264D-WAM: 4D Consistent World Modeling for Autonomous DrivingarXiv:2608.10107v1 Announce Type: new Abstract: Emerging World-Action Models (WAMs) have demonstrated promising performance in autonomous driving by jointly modeling future driving scene evolution and
TechniqueFine-tuning8 recent entries12 Aug 2026Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?arXiv:2603.02462v2 Announce Type: replace-cross Abstract: A key challenge in developing unified neural solvers for combinatorial optimization (CO) is the efficient generalization of models from a give→12 Aug 2026Can Bayesian Optimization Efficiently Find a Strong Single Expert in Neural Thickets?arXiv:2608.10867v1 Announce Type: new Abstract: Gradient-free post-training has emerged as a compelling alternative to gradient-based optimization for large language models (LLMs), but existing approa→12 Aug 2026BPG: Balancing Plasticity and Generalization for Domain Incremental LearningarXiv:2608.10804v1 Announce Type: cross Abstract: Deep neural networks excel in various tasks but struggle to generalize across evolving data distributions, leading to significant performance degradat→12 Aug 2026Benchmarking Time Series Generation Methods for Privacy-Preserving ForecastingarXiv:2608.10891v1 Announce Type: new Abstract: Time series forecasting in privacy-sensitive domains often requires training models on released data rather than original observations. Synthetic time s→12 Aug 2026Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic CritiquearXiv:2608.10430v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as AI agents frequently exhibit user specification-grounding failures, executing hallucinated, undesired actions→12 Aug 2026A Systematic Sample Size Analysis of ML-Based Path Loss Prediction for LPWANarXiv:2608.11083v1 Announce Type: cross Abstract: Low Power Wide Area Networks like LoRa are increasingly deployed for smart city applications, requiring accurate path loss prediction for effective ne→12 Aug 2026A Fixed-Point Neural Operator for Size- and Functional-Transferable Hamiltonian PredictionarXiv:2606.14498v2 Announce Type: replace-cross Abstract: Predicting the Kohn-Sham Hamiltonian with machine learning can accelerate density functional theory while retaining access to molecular orbita→12 Aug 2026A Cost-Efficient Routing Pipeline for Multilingual Short-Text Classification Using Small Language ModelsarXiv:2608.10939v1 Announce Type: cross Abstract: Multilingual short-text classification supports operational systems such as content moderation, customer support routing, and intent recognition, yet
TechniqueMultimodal8 recent entries12 Aug 2026ComBodied Agents: a New Paradigm of Human-Centric Agentic AIarXiv:2608.10915v1 Announce Type: new Abstract: After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither ex→12 Aug 2026Chain of Spatial Thoughts: Modality-Agnostic Spatial Grounding for Vision Language ModelsarXiv:2608.10278v1 Announce Type: new Abstract: Spatial understanding is fundamental to embodied intelligence, underpinning applications such as robotic manipulation, embodied navigation, and autonomo→12 Aug 2026CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian SplattingarXiv:2608.11150v1 Announce Type: new Abstract: While 3D Gaussian Splatting (3DGS) has advanced open vocabulary scene understanding, existing methods remain confined to explicit queries. They struggle→12 Aug 2026CARE: Confidence-Aware Reasoning for Reliable Medical VQAarXiv:2608.10964v1 Announce Type: cross Abstract: Reinforcement Fine-Tuning (RFT) has enabled medical Multimodal Large Language Models (MLLMs) to produce Chain-of-Thought (CoT) reasoning for visual qu→12 Aug 2026Capturing Uncertainty in Human Motion for Representation Learning in SoccerarXiv:2608.11203v1 Announce Type: new Abstract: This paper presents a self-supervised representation learning framework for understanding 3D skeleton-based human motion in soccer, using future motion →12 Aug 2026CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question AnsweringarXiv:2608.11074v1 Announce Type: new Abstract: Evaluating detailed image captions from Vision-Language Models (VLMs) requires going beyond surface-level semantic similarity. Reference-based metrics (→12 Aug 2026BPG: Balancing Plasticity and Generalization for Domain Incremental LearningarXiv:2608.10804v1 Announce Type: cross Abstract: Deep neural networks excel in various tasks but struggle to generalize across evolving data distributions, leading to significant performance degradat→12 Aug 2026BooST: Bridging Semantics and Motions for Efficient Skill TransferarXiv:2608.10600v1 Announce Type: cross Abstract: Skill abstraction---the process of learning reusable and temporally extended behaviors---has emerged as a key paradigm for improving sample efficiency
TechniqueSafety8 recent entries12 Aug 2026Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online SafetyarXiv:2512.06227v3 Announce Type: replace Abstract: Real-world indicators play an important role in many Natural Language Processing (NLP) applications, such as life events for mental health analysis →12 Aug 2026APCReg: Anatomical-Prior-Guided Coarse-to-Fine CBCT--IOS Registration via Multi-View Projection and Reliability-Controlled Residual CorrectionarXiv:2608.09993v1 Announce Type: cross Abstract: Registration between cone-beam computed tomography (CBCT) and intraoral scans (IOS) is essential for patient-specific surgical planning. However, disp→12 Aug 2026AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance LossarXiv:2608.11205v1 Announce Type: new Abstract: Frechet distance has recently emerged as an effective distribution-level objective for generator post-training, complementing the conventional sample-le→12 Aug 2026Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using AgentsarXiv:2608.11110v1 Announce Type: new Abstract: When a tool-using agent is given the same task in a different language, does it still take the same steps? Multilingual evaluation rarely asks: it compa→12 Aug 2026Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic CritiquearXiv:2608.10430v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as AI agents frequently exhibit user specification-grounding failures, executing hallucinated, undesired actions→12 Aug 2026A Neural Network Based Teleoperation for Remote Controlled VehiclesarXiv:2608.10367v1 Announce Type: new Abstract: Direct teleoperation of vehicles faces critical technical bottlenecks: communication latency and the operator's inability to physically perceive unmodel→12 Aug 2026A Joint-Distribution Route to Fair Representations with Continuous Sensitive AttributesarXiv:2608.10470v1 Announce Type: new Abstract: Fair representation learning with a continuous sensitive attribute S requires a representation Z that is statistically independent of S. Existing criter→12 Aug 2026A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection MethodsarXiv:2608.10203v1 Announce Type: new Abstract: Despite the success of convolutional neural networks in image classification tasks and their general application in multi-modal models, their susceptibi