AI News

Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand (arxiv.org)

Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet Traces (arxiv.org)

Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment (arxiv.org)

Trainable Smooth-Rotation Transforms with Learned Channel Scales for LLM Quantization (arxiv.org)

Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling (arxiv.org)

Sigma-Branch: Hierarchical Single-Path Network Reconstruction for Dynamic Inference with Reduced Active Parameters (arxiv.org)

Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization (arxiv.org)

Role-Agent: Bootstrapping LLM Agents via Dual-Role Evolution (arxiv.org)

Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook (arxiv.org)

Do VLMs Reason Like Engineers? A Benchmark and a Stage-wise Evaluation (arxiv.org)

Moonshine: An Autonomous Mathematical Research Agent Centered on Conjecture Generation (arxiv.org)

Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders (arxiv.org)

Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining (arxiv.org)

LongMoE: Longitudinal Multimodal Learning via Trajectory-Aware Mixture-of-Experts (arxiv.org)

TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification (arxiv.org)

A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations (arxiv.org)

Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech (arxiv.org)

Evaluating Research-Level Math Proofs via Strict Step-Level Verification (arxiv.org)

READER: Robust Evidence-based Authorship Decoding via Extracted Representations (arxiv.org)

More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Production (arxiv.org)

Accelerating NeurASP with vectorization and caching (arxiv.org)

$\tau$-Rec: A Verifiable Benchmark for Agentic Recommender Systems (arxiv.org)

AutoPDE: Reliable Agentic PDE Solving via Explicitly Represented Solver Strategies (arxiv.org)

The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent Misalignment (arxiv.org)

When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models (arxiv.org)

Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents (arxiv.org)

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems (arxiv.org)

Optuna Constrained Tree-Structured Parzen Estimator Is a Joint Density Generalization of c-TPE (arxiv.org)

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks (arxiv.org)

Toward Calibrated, Fair, and accurate Deepfake Detection (arxiv.org)

Hyperparameter Learning for Latent Factorization of Tensors for Representation Learning to Large-scale Dynamic Weighted Directed Network (arxiv.org)

One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA (arxiv.org)

ActiveMem: Distributed Active Memory for Long-Horizon LLM Reasoning (arxiv.org)

HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent Learning (arxiv.org)

Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm (arxiv.org)

A complementary study on PlanGPT: Evaluation with defined Performance Metrics and comparison with a planner (arxiv.org)

FailureScope: Cross-Regime Behavioral Diagnosis of Language Model Weaknesses (arxiv.org)

Streaming Knowledge Compilation: Proactive Materiality-Scored Pinning for Time-Evolving LLM Wikis (arxiv.org)

Calibrating Overconfidence Without Sacrificing Confidence: Probe-Conditioned Head Intervention for LLMs (arxiv.org)

Rotate2Think: Geometric Priming via Orthogonal Rotation to Improve Language Model Reasoning (arxiv.org)

PatchSTG: Scalable Spatiotemporal Graph Transformers for Traffic Forecasting on Irregular Sensor Networks (arxiv.org)

Blind denoising diffusion models and the blessings of dimensionality (arxiv.org)

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access (arxiv.org)

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective (arxiv.org)

Mixtures of Neural Operators Reduce Active Complexity in Operator Learning (arxiv.org)

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss (arxiv.org)

Time series forecasting from partial observations via Non-negative Matrix Factorization (arxiv.org)

MAD: Manifold Attracted Diffusion (arxiv.org)

Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (arxiv.org)

Latent Guided Sampling for Combinatorial Optimization (arxiv.org)