ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
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HTMuon: Improving Muon via Heavy-Tailed Spectral Correction
BarrierSteer: LLM Safety via Learning Barrier Steering
ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Sched…
Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality…
Every Component is a Lookup: Token Attribution and Composition from a Single Decomposition
LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic Mani…
Controlled Personalization in Legacy Media Online Services: A Case Study in News Recommen…
A drone-based framework for coral habitat mapping via weakly supervised segmentation
Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
Spectral-inspired Operator Learning with Limited Data and Unknown Physics
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning
Model Spec Midtraining: Improving How Alignment Training Generalizes
QED: An Open-Source Multi-Agent System for Generating Mathematical Proofs on Open Problems
Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matt…
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention
Proxy-Based Approximation of Shapley and Banzhaf Interactions
AI Evaluation Should Require Standardized Item-Level Data Releases
Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems
Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems
DART: Semantic Recoverability for Structured Tool Agents
Solving the Aircraft Disassembly Scheduling Problem
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs
The Cognitive Kardashev Scale: Quantifying the Material Envelope of Civilisational Comput…
ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse
CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs
Empowering 9-1-1 Calltaking Training with Generative AI: Experiences and Lessons Learned
Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representa…
ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization
Redrawing the AI Map: A Theory of Accountability Boundaries in Agentic Ecosystems