TechniqueRLHF / Alignment8 recent entries12 Aug 2026Calibrating Post-Training Feature Shifts for LLM Data Contamination DetectionarXiv:2608.10462v1 Announce Type: new Abstract: Large language models (LLMs) are trained on massive and largely undisclosed corpora that may contain copyrighted or privacy-sensitive content. Data cont→12 Aug 2026Bridging Severe Cross-Modal Misalignment: End-to-End Visible-Infrared Object Detection via Explicit Feature-Domain Affine RegistrationarXiv:2608.10680v1 Announce Type: new Abstract: Visible-infrared object detection relies on complementary RGB and thermal cues, but its performance is often degraded by cross-modal spatial misalignmen
TechniqueRAG8 recent entries12 Aug 2026Multi-Granular Rationale-Guided Molecular LLM for Property PredictionarXiv:2608.10480v1 Announce Type: new Abstract: Large language models (LLMs) are widely applied across chemical tasks, such as molecular property prediction, which underpins drug discovery. Molecular →12 Aug 2026MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent WorkflowsarXiv:2608.10509v1 Announce Type: new Abstract: Shared memory helps language-model agents reuse information across long workflows, yet relevant evidence may not be admissible for a particular agent or→12 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 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 2026// Actions Speak Louder Than Words // Multilingual agent evaluation compares final answers and throws the trajectory away. The trajectory fi…// Actions Speak Louder Than Words // Multilingual agent evaluation compares final answers and throws the trajectory away. The trajectory fixes cost, latency, failure mode, and auditability. New resea→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 model is only as good as its data, and we’ve long since exhausted the internet. From here on out, model progress is gated by data producti…A model is only as good as its data, and we’ve long since exhausted the internet. From here on out, model progress is gated by data production. @mercor_ai’s @BrendanFoody joined us at our Sovereign AI→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→12 Aug 202618 two-word AI prompts I'm kind of obsessed with: 1) now what - great for when you've wrapped up a project or big push and you still have en…18 two-word AI prompts I'm kind of obsessed with: 1) now what - great for when you've wrapped up a project or big push and you still have energy and want AI to give you more 2) plz fix - usually accom
TechniqueFine-tuning8 recent entries12 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 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 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 2026CohereLabs/North-Micro-Vision-Instruct · Hugging FaceNorth Micro Vision Instruct is a 2.4B-parameter open-weight vision-language model with native-resolution image support, released under the Apache 2.0 license. It is designed as a compact foundation fo→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 2026Bayesian-Agent: Posterior-Guided Skill Evolution Across LLM Agent HarnessesarXiv:2606.08348v2 Announce Type: replace Abstract: LLM agents increasingly rely on prompts, tools, memory, SOPs, skills, and harness feedback, yet current self-evolution pipelines often update these →12 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 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 2026// Actions Speak Louder Than Words // Multilingual agent evaluation compares final answers and throws the trajectory away. The trajectory fi…// Actions Speak Louder Than Words // Multilingual agent evaluation compares final answers and throws the trajectory away. The trajectory fixes cost, latency, failure mode, and auditability. New resea→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 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