Decoding Pedestrian Crossing Intention from Egocentric Vision via Vision Language Models
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From USD Scenes to Knowledge Graphs: Zero-Shot Ontology Grounding with LLMs
An Enhanced Geometric-Spectral Feature Learning Framework for Airborne Multispectral Poin…
Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learni…
Addressing Market Regime Changes and Heavy-Tailed Returns in Portfolio Optimization via B…
Context-Fractured Decomposition Attacks on Tool-Using LLM Agents: Exploiting Artifact Pro…
A Unifying Lens on Reward Uncertainty in RLHF
See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection …
Stage-1 Controls the Entropy Regime, Not the Outcome
INFUSER: Influence-Guided Self-Evolution Improves Reasoning
BareWave: Waveform-Native Flow-Matching Text-to-Speech
ATM: Action-Consistency Transfer Matrix for Diagnosing and Improving Latent World Models
Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low…
CARE: A Conformal Safety Layer for Medical Summarization
Hardening Agent Benchmarks with Adversarial Hacker-Fixer Loops
Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)
From Statute to Control Flow: Span-Grounded Deontic Trees for Defeasible Scope Parsing
PolyBuild: An End-to-End Method for Polygonal Building Contour Extraction from High-Resol…
A multi-agent system for spine MRI report generation from multi-sequence imaging
Cheap Reward Hacking Detection
Intelligent Character Recognition of Handwritten Forms with Deep Neural Networks
sGPO: Trading Inference FLOPs for Training Efficiency in RLVR
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Advancing Mathematics Research with AI-Driven Formal Proof Search
Large Language Models for Imbalanced Classification: Diversity makes the difference
Understanding Benchmark Language Under Weakened Formal Semantics
Web Agents Should Use Typed Actions Instead of Click-Based Browsing
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Language-based Trial and Error Falls Behind in the Era of Experience
Payoff scaling shapes cooperation in LLM agents across languages