Interpreting Latent CoT Reasoning as Dynamical Systems
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From ML Predictions to Informed Diagnostic Assistance Using the Toulmin Model of Argument…
CMSL: Constructive Multi-Sequence Learning for Recommendation Systems
RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation
Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
Graph Construction and Matching for Imperative Programs using Neural and Structural Metho…
Stable On-Policy Distillation through Adaptive Target Reformulation
Enhancing Adversarial Transferability through Block Stretch and Shrink
Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm
The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game G…
GES-TSP: Graph Edge Sparsification for TSP
Agentic Skill Optimization over Lie Algebroids
LightMem-Ego: Your AI Memory for Everyday Life
Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces
Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness…
ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evalu…
Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height a…
Agentic Routing: The Harness-Native Data Flywheel
A Glimpse into Long-term Physical Coexistence with Intelligent Robots
Beyond Sally-Anne: Evaluating Theory of Mind in LLMs using Epistemic Schelling Points
Characterising AI Models for Cataloguing
Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study
Fail-Aware and Explainable Test Oracle Prediction
PRISM Edit: One Vector for All Temporal Answers
Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Ana…
The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated Hi…
Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation
Enhancing LLMs through human feedback: a journey towards self-improvement
Multi-Agent LLMs Fail to Explore Each Other
Automated Textbook Auditing with Multi-Agent LLM Systems