https://validator.w3.org/feed/docs/rss2.html AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios READER: Reasoning-Enhanced AI-Generated Text Detection PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding On Language Generation in the Limit with Bounded Memory QuITE: Query-Based Irregular Time Series Embedding CB-SLICE: Concept-Based Interpretable Error Slice Discovery HARP: Hadamard-Preconditioned Adaptive Rotation Processor for Extreme LLM Quantization Preference-Shaped Expected Hypervolume and R2 Improvement: Exact Computation and Monotonicity Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction Beyond the Data Mesh Illusion: Designing Modern AI-augmented Lakehouses to Bridge the Gap Between Theory and Practice ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer Inference RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving Position: Retire the “Positive Backdoor” Label — Secret Alignment Requires Strict and Systematic Evaluation PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models Learning to Assign Prediction Tasks to Agents with Capacity Constraints LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems Rethinking Weak Supervision in Anomaly Detection: A Comprehensive Benchmark BrickAnything: Geometry-Conditioned Buildable Brick Generation with Structure-Aware Tokenization Governed Capability Evolution: Lifecycle-Time Compatibility Checking and Rollback for AI-Component-Based Systems, with Embodied Agents as Case Study Where Code Meets Natural Language: Taxonomy-Driven Information Flow Analysis for LLM-Integrated Applications SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures A general tensor-structured compression scheme for efficient large language models CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models Preisach Attention: A Hysteretic Model of Sequential Memory Proxy-Based Approximation of Shapley and Banzhaf Interactions From sleep staging to spindle detection: a case study on end-to-end automated sleep analysis BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems Atom-level Protein Representation Learning Improves Protein Structure Prediction Cost-Effective Model Evaluation with Meta-Learning Recurrent Structural Policy Gradient for Partially Observable Mean Field Games LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion Models Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models Comparative Analysis of Military Detection Using Drone Imagery Across Multiple Visual Spectrums PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation AI cracks 80-year-old mathematics challenge — researchers are astonished D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models Author Correction: Biophysical prediction of protein–peptide interactions and signaling networks using machine learning The Impact of Semantic Pairs on Self-Supervised Representation Learning