Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,313In brief24More (on-topic)3,333Not relevant13,754Not assessed87Older352Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning The paper studies ranking and partitioning attention heads by gradient norm for sparse and continual reinforcement learning fine-tuning. Ranked #446Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Proposes sparse attention-head tuning to reduce training and adaptation overhead across tasks. | |
| AgentEval: Evidence-Bounded Assessment of Stateful Agents Presents an evaluation system that tracks state and evidence to ensure autonomous agents fulfill obligations across long-horizon executions. Ranked #446New testPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Addresses obligation satisfaction and evidence tracking for stateful tool-using agents. | |
| FRACTION: Fraud Explanation Generation via Agentic Graph Context Navigation This paper presents an agentic framework and an evaluation rubric for generating explanations of risk labels in graph fraud detection. Ranked #446New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a validated evaluation rubric and protocol for assessing LLM-generated fraud explanations. | |
| FrameLite: Decision-Oriented Aesthetic Cropping with a Compact Vision-Language Model Proposes a lightweight aesthetic cropping model built on a small vision-language model using multi-stage candidate optimization. Ranked #446Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Uses a compact vision-language model for image composition and cropping. | |
| The belief-action gap in language model agents The authors examine why language model agents fail by analyzing discrepancies between internal representations of state values and actual action choices. Ranked #446New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Analyzes internal causes of failure and unreliability in language model agent actions. | |
| Data Strategies for Large Language Models: A Unified Perspective on the Training Lifecycle Reviews and formalizes data selection, weighting, and scheduling policies across the pretraining and post-training lifecycle of language models. Ranked #447Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:17 | On-topic Analyzes compute-budget allocation and training data efficiency across model lifecycles. | |
| MemScope: Evolving Agent Memory Architectures through Localized Code Repair Introduces a localized code repair framework that evolves language model memory architectures using fine-grained execution feedback. Ranked #447New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Proposes a framework for self-evolving agent memory architectures via localized code repair during task execution. | |
| Multimodal Fusion of RGB and Complementary Modalities for Semantic Segmentation This paper proposes a bidirectional polarity-aware cross-modality fusion module to improve multimodal semantic segmentation across diverse complementary sensor streams. Ranked #447Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Develops a cross-modality fusion framework for combining RGB with complementary modalities like LiDAR, depth, and thermal. | |
| How to Build a Benchmark That Actually Measures Taste This paper introduces a pairwise evaluation benchmark and protocol designed to measure subjective aesthetic taste while controlling for shortcut artifacts. Ranked #447New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a new benchmark and evaluates biases and construction artifacts in model evaluation. | |
| Learning to Detect Shifts in Unstructured Data Streams via Monitoring-by-Betting The paper develops a sequential betting approach to reliably detect data distribution shifts in unstructured text and image streams over time. Ranked #447New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Provides monitoring methods to detect distribution shifts in generative AI data streams. | |
| BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks Presents a GPU format that losslessly compresses sparse activations to reduce memory usage during neural network training. Ranked #448Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Introduces a lossless activation compression format to reduce GPU memory during LLM training. | |
| RAC: A Relational Agent Contract for Constraint-Governed Engineering Tasks The paper introduces an action and feedback contract separating agent decisions from deterministic tool execution for constraint-governed engineering tasks. Ranked #448New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Proposes an action-feedback contract enabling agents to solve constraint-governed engineering tasks. | |
| IND-Eval: Aligning Evaluation and Simulation for Industrial Time Series Foundation Models The paper introduces an industrial time-series forecasting benchmark to evaluate foundation models on multi-rate and multivariate data. Ranked #448New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a public evaluation benchmark for industrial time series models. | |
| WIRE: Weight Space Implicit Representation Encoding of Frozen Video LLMs WIRE reduces video LLM inference costs by moving video computations from input tokens into temporary low-rank weight updates. Ranked #448Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Optimizes video language models by encoding visual representation into model weights. | |
| MAS-Gate: Unlocking Multi-Agent System Lifecycle via Node-Centric Quantification The paper presents a unified node-centric framework to quantify and manage multi-agent system lifecycles across design, runtime, and post-hoc attribution. Ranked #448New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Provides runtime monitoring and attribution mechanisms to stabilize multi-agent execution. | |
| Query-Efficient Rejection Sampling for Parallel Masked Diffusion Proposes a single-increment rejection sampling algorithm to correct token correlation bias efficiently in parallel masked diffusion. Ranked #449Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Improves parallel masked diffusion decoding efficiency via single-query rejection sampling. | |
| SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills The paper proposes a non-elitist evolutionary optimization framework that retains and iteratively refines low-reward agent skills using execution feedback. Ranked #449Surprising resultPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Optimizes agent skill banks via evolutionary refinement to improve task completion. | |
| AI-Assisted Tumor-Growth Law Discovery from Sparse Data: Refitting and LLM-Based Ranking The paper evaluates symbolic regression, refitting techniques, and language model rankings for inferring tumor-growth laws from sparse observation data. Ranked #449Surprising resultPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Evaluates LLM reasoning and ranking capabilities for scientific equation discovery. | |
| Learning Multimodal Sensor Fusion with JEPA Representations for Breathing Activity and Pose Recognition The paper explores transferring frozen video representations across heterogeneous sensor subsets to classify breathing activity and pose. Ranked #449Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Studies multimodal fusion across video, depth, and radar sensor inputs. | |
| Verifier-Harness Co-Evolution for Training-Free Self-Improvement on Open-Ended Tasks The paper proposes a training-free framework that co-evolves an executable verifier program and harness state to self-improve agents on open-ended tasks. Ranked #449Surprising resultPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Improves response reliability and verification on open-ended deployment tasks. | |
| LCT: Losslessly Compressed Tensors with GPU friendly execution for Training Provides a GPU-accelerated Huffman compression framework for tensors to lower memory overhead during model training. Ranked #450Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Presents lossless GPU tensor compression to reduce memory footprint during model training. | |
| Amortizing Sequential Experimental Design in Reasoning LLMs The paper trains reasoning models to perform sequential experimental design by optimizing information-gain rewards during action selection. Ranked #450New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Trains reasoning LLMs to adaptively acquire information in multi-step tasks. | |
| DDVR-Net: Degradation-Aware Decoupling and Visibility-Guided Restoration for Historical Document Recognition DDVR-Net decouples glyph structures from physical damage and uses visibility-guided restoration for historical document OCR. Ranked #450Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Presents a framework combining visual degradation restoration with language modeling for document understanding. | |
| Improving the Evaluation of Biomedical Question Answering with Few Human Preference Signals This paper uses limited human preference signals to calibrate automated evaluation metrics for biomedical retrieval-augmented question answering. Ranked #450New way to see a problemPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Proposes calibrating automated evaluation metrics with human preferences to evaluate QA systems. | |
| From Token Correction to Claim Admission: Training-Free Hallucination Mitigation for Large Vision-Language Models Proposes a training-free framework that mitigates vision-language model hallucinations by admitting claims only when supported relative to a visual-null input. Ranked #450New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Introduces a training-free framework to reduce object hallucination in vision-language models. | |
| ETH: Data-Balanced Heterogeneous Pipeline Parallelism for Training Large Models This paper presents a pipeline parallelism training system that balances data workloads across heterogeneous hardware while reducing communication overhead. Ranked #451Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Proposes pipeline parallelism to improve memory and compute efficiency for training large models. | |
| ARIA: Runtime Inspection and Amendment for Multi-Agent Systems The paper presents a framework and dataset for learning to detect and repair errors during multi-agent system execution. Ranked #451New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Proposes a runtime inspection and amendment framework to repair multi-agent system execution errors. | |
| XForecast: The KDD 2026 Finance Day Challenge on News-Grounded Financial Forecasting This paper introduces a financial forecasting benchmark and competition that evaluates four-week stock movement predictions using both prices and news. Ranked #451New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a financial forecasting benchmark and metric evaluating multimodal time-series and news text integration. | |
| Geometry-Guided Semantic Reconstruction for 3D Instance Segmentation Introduces masked semantic reconstruction and geometry modulation to better align lifted 2D semantic priors with 3D instance representations. Ranked #451Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Transfers and aligns 2D semantic priors into 3D geometric representations for scene understanding. | |
| Can Agents Truly Forget? Explore Machine Unlearning for LLM Agents Formulates machine unlearning for LLM agents across parametric memory, external persistent storage, and tool-accessible environments. Ranked #451New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Focuses on preventing LLM agents from leaking sensitive enterprise or user data. | |
| Learning Lean Feedback for Efficient Proof-Candidate Evaluation on GPUs This paper trains GPU-based neural evaluators to predict Lean 4 compiler verdicts and feedback, accelerating proof-candidate filtering. Ranked #452Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Accelerates formal verification by using lightweight neural surrogates to speed up theorem prover evaluation. | |
| Stop Training Against Soft Users: Mentalized Adversarial Self-Play for Proactive Dialogue The paper introduces an adversarial self-play framework modeling user mental states to improve proactive dialogue agent planning. Ranked #452New way to see a problemPreprint6/10 suggested | AI agents via arxiv · 17 Oct, 06:17 | On-topic Focuses on proactive dialogue agents planning actions against evolving user states. | |
| PATTERN Can Be Solved from Memory: Generator-Aware Baselines for Synthetic Node Classification Shows the PATTERN graph benchmark can be solved by memorization because pattern subgraphs are reused across splits. Ranked #452Surprising resultPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Exposes fundamental data leakage and design flaws in synthetic graph benchmarks. | |
| PIGEONS: Incremental Long-Video Captioning with Persistent Identity Gallery and Evolving Overarching Narrative Summary Develops an incremental long-video captioning method using a persistent identity gallery and evolving narrative summary. Ranked #452Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Develops a multimodal video captioning framework using identity galleries and narrative summaries. | |
| Transparent Information Flow Modeling for Role-Aware AI Act Assessment The paper applies an information-flow modeling methodology to assess public-sector AI recruitment tools under European Union AI Act requirements. Ranked #452New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Addresses AI Act compliance, governance, and accountability in high-risk deployments. | |
| Compiling Multi-Threshold Operators for Quantized Non-Monotonic and Fine-Granular Activations in Custom-Tailored DNN Accelerators The paper proposes an ONNX compiler method to map quantized non-monotonic and fine-granular activations into multi-threshold operators for hardware accelerators. Ranked #453Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Compiles multi-threshold operators to enable hardware-efficient quantized activation functions. | |
| Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization This paper evaluates human opinion measurement interfaces and recommends listwise preference collection for human-in-the-loop optimization. Ranked #453New way to see a problemPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Investigates user interface designs and human evaluation protocols for assessing model outputs. | |
| EviStress: Evidence Stress Learning for Generalizable Face Forgery Detection with Textual Explanations The paper introduces a framework combining targeted patch perturbation with textual explanations to improve face forgery detection generalization. Ranked #453Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Proposes a framework for face forgery detection with multimodal textual explanations. | |
| claimcheck: Measuring and Improving Specification Faithfulness The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements. Ranked #453New testPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Focuses on preventing unfaithful specifications in deployed formal verification systems. | |
| Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes The authors present an active spatial search framework enabling vision-language agents to ground 3D objects in city-scale environments via interactive tool use. Ranked #453New way to see a problemPreprint5/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Designs an active spatial search agent using interactive tools in 3D scenes. | |
| Sparse Federated Echo State Networks for Time-Series Classification via Smooth-L1 Regularization The paper presents a sparse federated Echo State Network using smooth L1 regularization for efficient edge time-series classification. Ranked #454Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Presents a sparse regularized network to reduce stored model size and inference cost. | |
| One-Step Prediction Fidelity Is a Poor Proxy for Planning Performance in JEPA World Models The paper shows that one-step prediction accuracy in joint-embedding world models is an unreliable indicator of downstream planning performance. Ranked #454Surprising resultPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Evaluates whether one-step prediction metrics reliably reflect planning performance in world models. | |
| ViewStruct: View-Grounded Articulation and Connectivity Inference The paper proposes a vision-language framework to predict rigid-body connectivity and articulation parameters of objects from single views. Ranked #454Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Adapts vision-language models to perform multimodal reasoning over visual scenes and object connectivity. | |
| Who is the 'I' in AI? Establishing Decentralized Identity and Accountability for Autonomous Agents Proposes a decentralized identity framework using self-sovereign identity principles to establish verification and accountability for autonomous agents. Ranked #454New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Establishes cryptographic identity and governance for safe real-world agent deployments. | |
| Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition Introduces AAArena, a benchmark evaluating how AI agents revise executable code policies across 12 adversarial games under fixed budgets. Ranked #454New testPreprint5/10 suggested | AI agents via arxiv · 12 Oct, 16:28 | On-topic Examines LLM agents acting to adapt game policies and code over multi-step iterations. | |
| ShiftQAT: Quantization-Aware Training for the Numerical Contract of a Fixed-Function Edge CNN Accelerator The paper details a quantization-aware training workflow that trains neural networks to match the exact hardware constraints of edge accelerators. Ranked #455Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Develops quantization-aware training specifically to satisfy constraints of edge accelerators. | |
| PathPilot: An Adaptive Question-Conditioned Multi-Magnification Navigation Agent for Whole-Slide Image Analysis The paper proposes an adaptive whole-slide image navigation agent that models cross-magnification localization for pathology diagnosis. Ranked #455Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Presents an adaptive question-conditioned multimodal navigation agent for complex medical image analysis. | |
| Gradient Routing Localizes and Removes Unintended Behaviors in RL Routes gradients from imperfect monitor flags into sacrificial parameters to mitigate reward hacking during reinforcement learning. Ranked #455New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Presents a method to mitigate reward hacking and unintended behavior in reinforcement learning. | |
| APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation This paper introduces an agentic post-training framework that coordinates multiple agents to evaluate and adaptively train text-to-image models. Ranked #455New way to see a problemPreprint5/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Uses coordinating multi-agent systems to automate evaluation and post-training data generation. | |
| LIBERO-RIG: A Hardware-Setup Robustness Benchmark for Vision-Language-Action Models The paper introduces a benchmark to measure vision-language-action model robustness against hardware, optical, and physical robot setup variations. Ranked #455New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces LIBERO-RIG, a standardized benchmark evaluating policy robustness under hardware setup changes. | |
| Recursive Offline Distillation via Entropy Gain Sampling and Answer Mixing The paper presents an offline distillation method combining entropy-difference sampling and answer mixing to transfer reasoning abilities into smaller language models. Ranked #456Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Proposes an offline distillation method to transfer reasoning capabilities into small models. | |
| Revisiting Natural Language Prompts from Large Language Models for Open-Vocabulary Video Recognition The paper presents a framework exploring category, video, and frame prompts to enhance vision-language models for open-vocabulary video recognition. Ranked #456Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Improves vision-text alignment in multimodal vision-language models for video recognition. | |
| SkillMarker: A KGW-Based Watermarking Method for Agent Skill Ownership Verification The paper introduces a watermarking method to verify ownership and trace unauthorized copying of agent skill instructions. Ranked #456New way to see a problemPreprint5/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Addresses ownership verification and leakage prevention for reusable agent skill procedures. | |
| Answer It or Not? Towards Prompt-Adapted Adversarial Images on Vision Language Models Generates prompt-adapted adversarial images that block unauthorized visual questions on vision-language models while still answering legitimate prompts correctly. Ranked #456New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Investigates adversarial attacks and privacy protections for deployed vision-language models. | |
| GIFT-Eval-CTX: A Benchmark For Contextual Forecasting Model Evaluation This paper introduces a benchmark to evaluate whether forecasting models can incorporate forward-looking contextual information into accurate time-series predictions. Ranked #456New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents GIFT-Eval-CTX, a dedicated benchmark for evaluating contextual time-series forecasting across models. | |
| Fault Detection and Bit-Error Rate Diagnostics in Optical Wireless Links Using Edge-AI The authors implement an on-device machine learning diagnostic engine on a microcontroller for optical wireless communication links. Ranked #457Preprint0/10 suggested | Small and efficient models via arxiv · 17 Oct, 06:18 | On-topic Demonstrates an INT8 quantized TinyML neural network deployed on a microcontroller for edge processing. | |
| Code-Interactive Visual Reasoning for Financial Candlestick Understanding The paper introduces a model and dataset for financial candlestick reasoning by generating and executing code to gather visual evidence. Ranked #457Preprint0/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Develops vision-language reasoning combining document understanding of financial charts with code execution. | |
| Does the Explanation Drift Before the Guarantee? Label-Free Early Warning on Evolving Graphs Monitors model explanation drift on evolving graphs to provide early warnings before predictive uncertainty guarantees fail. Ranked #457New way to see a problemPreprint6/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:17 | On-topic Provides early-warning attribution drift monitoring to maintain reliability and conformal coverage in deployment. | |
| Monitoring latent reasoning in looped language models This paper presents an interpretability protocol to monitor latent reasoning dynamics and stability across multiple looped language model families. Ranked #457New testPreprint5/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an interpretability evaluation protocol to assess looped language models. | |
| Mental-Models for Multi-Agent Systems Equips multi-agent systems with latent mental models to infer counterpart beliefs and intentions for better decision-making under partial observability. Ranked #457New way to see a problemPreprint5/10 suggested | AI agents via arxiv · 12 Oct, 16:29 | On-topic Proposes latent partner-state mental models for multi-agent reasoning and decision-making. |
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